A fantastic opportunity for a Machine Learning Developer working onsite with a leading international bank, on an initial 6-month fixed term contract.

This position is part of the Advanced Analytics (AA) team involved in the design, implementation and performance monitoring of predictive analytics tools and is based within Group Risk Analytics, Regulatory Compliance (GRA RC) function. As part of the AA team you will be involved in designing end-to-end predictive analytics solutions, developing data platforms, build Machine Learning models (supervised, unsupervised, reinforced and evolutionary algos) and create software products to deploy these solutions within Regulatory Compliance framework.

Responsibilities:

• Work closely with Data Scientists for development of predictive analytics tools, their prototyping and implementation
• Create Data Platform for Advanced Analytics teams to enable them in creating of end-to-end automation and AI capabilities
• Experienced in integrating multiple heterogeneous systems. Dealt with variety of languages and tools (e.g. scripting languages)
• Package AI/ML solutions developed by Advanced Analytics using docker/Kubernetes and host them as microservices on cloud (GCP/AWS)
• Develop CI/CD pipeline on both GCP and AWS infrastructure
• Create ETL script for sourcing and connecting data from structured and unstructured database
• Integrate new data management technologies and software engineering tools into existing structures
• Data Implementation Checks and Data Quality Assurance
• Conduct UAT to ensure error handling and user experience
• Development of bespoke solutions and tools to enhance the effectiveness and efficiency of surveillance within Regulatory Compliance
• Document data architecture designs and associated platform development tasks
• Formally present platform requirements to IT and other relevant stakeholders
• Adhere with all the applicable compliance policies (Data security policy, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, relevant regulatory guidelines etc.) and the bank’s business standards as applicable.
• Lead projects and initiatives including supervision and mentoring of team members

Experience required

• Post Graduate qualifications in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline;
• At least 5 years of experience of working in relevant Software Engineering or Analytics field. Experience within Financial Services highly desirable.
• Strong experience in creating infrastructure platforms for Machine Learning based solutions, experience in developing end-to-end solutions and deploying them. Experience in creating web services. Some experience in front-end development would be a plus.
• Experience with Google Cloud Platform and services like: BigQuery, Dataprep, Dataflow, Dialogue flow, Spanner, Dataproc, Cloud ML Engine, Kubernetes, Cloud Datastore and experience with equivalent services on AWS.
• Knowledge of database architectures, ETL scripting for Hadoop-based technologies (e.g MapReduce, Hive and Pig), SQL-based technologies (e.g. PostgreSQL and MySQL) and NoSQL technologies (e.g. Cassandra and MongoDB).
• Familiarity with data ingestion tools (Flume, Kafka, Sqoop, Storm) and data analysis tools such as Spark, ML flow, etc.
• Experience with some of the ML libraries would be an added value. Interest in Natural Language Processing and text analysis.
• Strong experience in at least two of the following: Python, Java, C/C++, Matlab, SAS, R relevant data visualisation tools;
• Very good knowledge of Linux
• Experience in Terraform highly desired.
• Experience with designing microservices and APIs, experience in serverless architectures
• Good understanding of trading cycles for financial instruments

A fantastic opportunity for a Machine Learning Developer working onsite with a leading international bank, on an initial 6-month fixed term contract.

This position is part of the Advanced Analytics (AA) team involved in the design, implementation and performance monitoring of predictive analytics tools and is based within Group Risk Analytics, Regulatory Compliance (GRA RC) function. As part of the AA team you will be involved in designing end-to-end predictive analytics solutions, developing data platforms, build Machine Learning models (supervised, unsupervised, reinforced and evolutionary algos) and create software products to deploy these solutions within Regulatory Compliance framework.

Responsibilities:

• Work closely with Data Scientists for development of predictive analytics tools, their prototyping and implementation
• Create Data Platform for Advanced Analytics teams to enable them in creating of end-to-end automation and AI capabilities
• Experienced in integrating multiple heterogeneous systems. Dealt with variety of languages and tools (e.g. scripting languages)
• Package AI/ML solutions developed by Advanced Analytics using docker/Kubernetes and host them as microservices on cloud (GCP/AWS)
• Develop CI/CD pipeline on both GCP and AWS infrastructure
• Create ETL script for sourcing and connecting data from structured and unstructured database
• Integrate new data management technologies and software engineering tools into existing structures
• Data Implementation Checks and Data Quality Assurance
• Conduct UAT to ensure error handling and user experience
• Development of bespoke solutions and tools to enhance the effectiveness and efficiency of surveillance within Regulatory Compliance
• Document data architecture designs and associated platform development tasks
• Formally present platform requirements to IT and other relevant stakeholders
• Adhere with all the applicable compliance policies (Data security policy, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, relevant regulatory guidelines etc.) and the bank’s business standards as applicable.
• Lead projects and initiatives including supervision and mentoring of team members

Experience required

• Post Graduate qualifications in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline;
• At least 5 years of experience of working in relevant Software Engineering or Analytics field. Experience within Financial Services highly desirable.
• Strong experience in creating infrastructure platforms for Machine Learning based solutions, experience in developing end-to-end solutions and deploying them. Experience in creating web services. Some experience in front-end development would be a plus.
• Experience with Google Cloud Platform and services like: BigQuery, Dataprep, Dataflow, Dialogue flow, Spanner, Dataproc, Cloud ML Engine, Kubernetes, Cloud Datastore and experience with equivalent services on AWS.
• Knowledge of database architectures, ETL scripting for Hadoop-based technologies (e.g MapReduce, Hive and Pig), SQL-based technologies (e.g. PostgreSQL and MySQL) and NoSQL technologies (e.g. Cassandra and MongoDB).
• Familiarity with data ingestion tools (Flume, Kafka, Sqoop, Storm) and data analysis tools such as Spark, ML flow, etc.
• Experience with some of the ML libraries would be an added value. Interest in Natural Language Processing and text analysis.
• Strong experience in at least two of the following: Python, Java, C/C++, Matlab, SAS, R relevant data visualisation tools;
• Very good knowledge of Linux
• Experience in Terraform highly desired.
• Experience with designing microservices and APIs, experience in serverless architectures
• Good understanding of trading cycles for financial instruments

This role is INSIDE IR35

Key roles and responsibilities: 

The successful candidates will join a team focused on data discovery and be responsible for supporting the strategy and execution of the for data prediction. Principal to this will be acquiring and understanding the data, and using appropriate technologies and methods to analyze the data through traditional statistics and Machine Learning techniques. They will help forge the framework for integrating machine learning for data discovery; this includes integrating algorithms and productionizing the use of them to run across a parallel processed environment. 

 Duties 

• Collaborate in the production and development of data discovery solutions and integration of new models 
• Design and build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building automation of the data landscape.
• Working with Product Managers, software developers and subject matter experts, and also bring your own expertise to the team, helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the discovery goals. 
• Contribute to specifying the underlying infrastructure we are building to support data discovery and enable models to be easily productionised and run at scale. 
• Produce data visualizations that effectively communicate information related to where data discovery is needed for business case objectives. 

Experience Required 

• Use of Machine Learning methods to analyze large and complex datasets 
• Experience of pattern recognition and function approximation, uncovering relationship between variables 
• Deep Learning using multi-layer neural networks, as well as reinforcement learning approaches 
• Theoretical and practical experience of using supervised Machine Learning: regressions, classifications; Unsupervised Machine Learning: clustering, factor analyses as well as methods of Deep and Reinforcement Learning. 
• Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, MongoDB 
• Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks 

Skills 

• Solid Mathematical and Algorithms Knowledge 
• Well-Versed with Probability and Statistics 
• Efficiency in Distributed Computing, Good Command of Unix Tools 
• Knowledge of Advanced Signal Processing Techniques

You MUST HAVE the right to work in the UK for this role as they DO NOT sponsor. You will also be working for the client onsite with one of their clients, a large multi national Bank.

This role is INSIDE IR35

Key roles and responsibilities: 

The successful candidates will join a team focused on data discovery and be responsible for supporting the strategy and execution of the for data prediction. Principal to this will be acquiring and understanding the data, and using appropriate technologies and methods to analyze the data through traditional statistics and Machine Learning techniques. They will help forge the framework for integrating machine learning for data discovery; this includes integrating algorithms and productionizing the use of them to run across a parallel processed environment. 

 Duties 

• Collaborate in the production and development of data discovery solutions and integration of new models 
• Design and build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building automation of the data landscape.
• Working with Product Managers, software developers and subject matter experts, and also bring your own expertise to the team, helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the discovery goals. 
• Contribute to specifying the underlying infrastructure we are building to support data discovery and enable models to be easily productionised and run at scale. 
• Produce data visualizations that effectively communicate information related to where data discovery is needed for business case objectives. 

Experience Required 

• Use of Machine Learning methods to analyze large and complex datasets 
• Experience of pattern recognition and function approximation, uncovering relationship between variables 
• Deep Learning using multi-layer neural networks, as well as reinforcement learning approaches 
• Theoretical and practical experience of using supervised Machine Learning: regressions, classifications; Unsupervised Machine Learning: clustering, factor analyses as well as methods of Deep and Reinforcement Learning. 
• Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, MongoDB 
• Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks 

Skills 

• Solid Mathematical and Algorithms Knowledge 
• Well-Versed with Probability and Statistics 
• Efficiency in Distributed Computing, Good Command of Unix Tools 
• Knowledge of Advanced Signal Processing Techniques

You MUST HAVE the right to work in the UK for this role as they DO NOT sponsor. You will also be working for the client onsite with one of their clients, a large multi national Bank.

Ruby on Rails Developer // Leeds // up to £45,000

An innovative software solutions provider with a large R&D function in Central Leeds require a Ruby on Rails Developer to join their technical team.

You'll be joining an organisation with internationally renowned customers in the entertainment space and have the chance to work on some of the most exciting products in the market.

Why apply?
- small, tight-knit technical team to work alongside
- use cutting-edge VR and R&D technologies
- regular social events/trips

What you'll need to succeed:
- Ruby on Rails expertise
- RSpec/Resque
- database technology (MySQL/MongoDB/SQL/Postgres)
- Git and/or SVN
- appreciation of the Agile development methodology
- CI/CD tooling (Jenkins/TravisCI/CircleCI)
- JavaScript frameworks (React/Vue/Node/Angular)

If you're an experienced RoR Developer who is looking for the opportunity to work for a forward-thinking establishment, please get in touch for a brief conversation.

Sam Aki
(phone number removed)
(url removed)

Ruby on Rails Developer // Leeds // up to £45,000

An innovative software solutions provider with a large R&D function in Central Leeds require a Ruby on Rails Developer to join their technical team.

You'll be joining an organisation with internationally renowned customers in the entertainment space and have the chance to work on some of the most exciting products in the market.

Why apply?
- small, tight-knit technical team to work alongside
- use cutting-edge VR and R&D technologies
- regular social events/trips

What you'll need to succeed:
- Ruby on Rails expertise
- RSpec/Resque
- database technology (MySQL/MongoDB/SQL/Postgres)
- Git and/or SVN
- appreciation of the Agile development methodology
- CI/CD tooling (Jenkins/TravisCI/CircleCI)
- JavaScript frameworks (React/Vue/Node/Angular)

If you're an experienced RoR Developer who is looking for the opportunity to work for a forward-thinking establishment, please get in touch for a brief conversation.

Sam Aki
(phone number removed)
(url removed)

Senior Java Developer // Full-Stack // North Yorkshire // £45,000 - £50,000

A renowned software solutions provider in North Yorkshire require a Senior Java Developer for a full-stack post.

You'll work alongside the established team of Architects and Tech Leads on the full SDLC. Your work will generally be a fairly even split of back/front end development.

Why apply?
- competitive salary
- work with elite level IT professionals
- engage with world-renowned customers
- flexi hours - core hours are 10am - 4pm
- 8% employer pension
- on-site car park

What you'll need to succeed:
- excellent backend Java development skills
- front end experience (Spring, JavaScript, HTML, CSS)
- database technologies (MySQL, MongoDB, Oracle, Postgres)
- scripting with Python, Bash or TCL
- Agile environment experience
- containerisation with Docker

This organisation are looking to bring on board this Senior Java Developer ASAP, so if you're looking for a beneficial change to further your career, then please get in touch.

Sam Aki
(phone number removed)
(url removed)

Senior Java Developer // Full-Stack // North Yorkshire // £45,000 - £50,000

A renowned software solutions provider in North Yorkshire require a Senior Java Developer for a full-stack post.

You'll work alongside the established team of Architects and Tech Leads on the full SDLC. Your work will generally be a fairly even split of back/front end development.

Why apply?
- competitive salary
- work with elite level IT professionals
- engage with world-renowned customers
- flexi hours - core hours are 10am - 4pm
- 8% employer pension
- on-site car park

What you'll need to succeed:
- excellent backend Java development skills
- front end experience (Spring, JavaScript, HTML, CSS)
- database technologies (MySQL, MongoDB, Oracle, Postgres)
- scripting with Python, Bash or TCL
- Agile environment experience
- containerisation with Docker

This organisation are looking to bring on board this Senior Java Developer ASAP, so if you're looking for a beneficial change to further your career, then please get in touch.

Sam Aki
(phone number removed)
(url removed)

Our client is a provider of premium quality digital technology services to blue chip customers and the public sector, specialising in cloud systems integration.

Customers include British Airways, Camelot (National Lottery) and Channel 4 Television, along with technology vendors such as MuleSoft and Red Hat. They are passionate about creating business value through doing innovative and interesting things with technology. Their software powers business critical systems in areas as diverse as lottery ticket sales, TV broadcast and care industry regulation, to name but a few.

Within their small but successful company you will have the opportunity to make the most of and enhance your skills, working as part of a great team.

Our client provides a happy, respectful and collaborative working environment and we give our employees the freedom to find innovative solutions for themselves. Working conditions are informal and un-corporate, there’s no dress code (unless meeting a customer); you’ll get to choose the Linux distro and environment that runs on your desktop.

The Role

We are looking for bright DevOps-minded software engineers to join our client in developing and supporting solutions for their customers. The roles offered, at varying levels of experience, will touch on all aspects of software engineering, integration, APIs, and DevOps practices, building, maintaining and supporting the software applications and tools that we and our customers depend on.

This is an ideal opportunity for the graduate with a couple of years of relevant industry experience who wants to progress to the next level, immerse themselves in technology, working with and learning from some exceptional peers.

Your responsibilities and rewards will reflect and grow with your experience.

Technology-wise you will have the chance to receive exposure to all levels of the applications and infrastructure stack. Recognised as Integration experts they are an active part of the ‘API Explosion’, helping customers gain a business advantage through integration in the Cloud.

To be the successful candidate, you will

• have strong skills in Java
• be a self-starter, quick to learn and have a passion for delivering to exceed expectations.
• value learning and solving problems together with your teammates.
• know the power of automation and avoid repeated manual work.
• write code only when necessary.
• fill the gaps in your knowledge by asking the right questions.
• be an enthusiastic, methodical programmer and know how to recognise good quality code.
• have a degree in an IT related subject.
• be a geek at heart with an inquisitive mind, good communications skills and a personable manner

Technology they use

• MuleSoft Anypoint Platform
• Apache Camel
• Spring, Hibernate
• RAML, SOAP, XSLT
• Apache MQ
• Ansible, Maven, Jenkins, Git, SVN, Jira, Eclipse, Netbeans
• MySQL, PostgreSQL, MongoDB, Neo4J
• Node.js
• Vue.js
• Apache Kafka

Our client is a provider of premium quality digital technology services to blue chip customers and the public sector, specialising in cloud systems integration.

Customers include British Airways, Camelot (National Lottery) and Channel 4 Television, along with technology vendors such as MuleSoft and Red Hat. They are passionate about creating business value through doing innovative and interesting things with technology. Their software powers business critical systems in areas as diverse as lottery ticket sales, TV broadcast and care industry regulation, to name but a few.

Within their small but successful company you will have the opportunity to make the most of and enhance your skills, working as part of a great team.

Our client provides a happy, respectful and collaborative working environment and we give our employees the freedom to find innovative solutions for themselves. Working conditions are informal and un-corporate, there’s no dress code (unless meeting a customer); you’ll get to choose the Linux distro and environment that runs on your desktop.

The Role

We are looking for bright DevOps-minded software engineers to join our client in developing and supporting solutions for their customers. The roles offered, at varying levels of experience, will touch on all aspects of software engineering, integration, APIs, and DevOps practices, building, maintaining and supporting the software applications and tools that we and our customers depend on.

This is an ideal opportunity for the graduate with a couple of years of relevant industry experience who wants to progress to the next level, immerse themselves in technology, working with and learning from some exceptional peers.

Your responsibilities and rewards will reflect and grow with your experience.

Technology-wise you will have the chance to receive exposure to all levels of the applications and infrastructure stack. Recognised as Integration experts they are an active part of the ‘API Explosion’, helping customers gain a business advantage through integration in the Cloud.

To be the successful candidate, you will

• have strong skills in Java
• be a self-starter, quick to learn and have a passion for delivering to exceed expectations.
• value learning and solving problems together with your teammates.
• know the power of automation and avoid repeated manual work.
• write code only when necessary.
• fill the gaps in your knowledge by asking the right questions.
• be an enthusiastic, methodical programmer and know how to recognise good quality code.
• have a degree in an IT related subject.
• be a geek at heart with an inquisitive mind, good communications skills and a personable manner

Technology they use

• MuleSoft Anypoint Platform
• Apache Camel
• Spring, Hibernate
• RAML, SOAP, XSLT
• Apache MQ
• Ansible, Maven, Jenkins, Git, SVN, Jira, Eclipse, Netbeans
• MySQL, PostgreSQL, MongoDB, Neo4J
• Node.js
• Vue.js
• Apache Kafka