Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Michael Page
This rapidly expanding UK financial services company require a Data Analyst/BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python/Power BI) to aid strategic … decision making and increase ROI. Client Details This position is with a rapidly expanding organisation within the financial services sector. The company is committed to leveraging data to enhance its offerings and improve customer experience Description This rapidly expanding UK financial services company require a Data Analyst/BI Developer to enhance their customer and digital analytics capabilities. … You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python/Power BI) to aid strategic decision making and increase ROI. You will work with the CRM team and 3rd Party companies to enhance customer profiling and maximise marketing More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
Robert Half Technology are assisting a market leading financial services organisation to recruit a Data Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance. Collaborate with data scientists and analysts to fulfil their data requirements and … support their work. Collect and process datasets from various sources, ensuring data quality and integrity. Implement efficient data models and schemas for storage and retrieval. Optimise data processes for improved performance and efficiency. Troubleshoot and resolve data pipeline issues swiftly and effectively. Keep abreast of industry trends and emerging technologies in data engineering, and continuously … improve your skills and knowledge. Profile The Data Engineer will have mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention to detail. Strong More ❯
Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and datascience skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯
Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and datascience skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Futuria
About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯
About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Futuria
About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯
london, south east england, united kingdom Hybrid / WFH Options
Futuria
About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Futuria
About the Role As a Data Engineer at Futuria, you’ll play a central role in designing, building, and maintaining the scalable data infrastructure that powers our AI models and intelligent applications. You’ll collaborate with AI engineers, data scientists, and product teams to ensure the seamless flow of high-quality, reliable data that drives performance … and insight across the platform. Key Responsibilities Design and implement scalable, secure, and reliable data pipelines to support procedural workflow orchestration and AI agent workflows Develop and manage robust data ingestion processes (batch and streaming) from diverse sources Collaborate with AI engineers and product teams to define data requirements and integrate pipelines seamlessly with models and applications. … Build and maintain ETL/ELT processes that ensure data integrity, consistency, and accuracy across systems. Optimize data infrastructure for performance, cost efficiency, and scalability in cloud environments. Develop and manage graph-based data systems (e.g. Kuzu, Neo4j, Apache AGE) to model and query complex relationships in support of Retrieval Augmented Generation (RAG) and agentic architectures. Contribute More ❯
Data Scientist | Fully Remote | Health and Wellbeing We’re hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker … you’ll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring Hands-on Python for datascienceMore ❯
Junior Data Engineers are required by this major client, as they continue to build the cloud engineering capability in their Leeds offices, where you will provide best in class Data Engineering services to a wide range of major Public Sector organisations. As a result of the work that they do, this client requires applicants to hold or be … UK national or dual UK national. Please note your application will not be taken forward if you cannot fulfil these requirements. In order to secure one of these Junior Data Engineer roles you must be able to demonstrate the following experience: Commercial experience gained in a Data Engineering role on any major cloud platform (Azure, AWS or GCP … Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Some experience with the design, build and maintenance of data pipelines and infrastructure Excellent problem solving skills with experience of troubleshooting and resolving data-related issues Skills they would love to see: Interest in building Machine learning and More ❯
Senior Engineer – Data/Software - London - £90,000 - £130,000 My client are expanding their DataScience & Technology, the team builds the systems and tools that enable trading teams to analyze markets, forecast price movements, and manage risk with speed and precision. If you’re passionate about engineering impactful solutions in a high-performance trading environment, this … is an opportunity to drive innovation at the intersection of data, technology, and commerce. Salary and Benefits Competitive salary of up to £130,000 (DOE) Performance bonus of up to 30% Comprehensive medical, dental, retirement, and life insurance Wellness and employee assistance programs Parental and family leave policies Two paid days annually to volunteer with local charities 23 days … office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand modeling, and position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Senior Engineer – Data/Software - London - £90,000 - £130,000 My client are expanding their DataScience & Technology, the team builds the systems and tools that enable trading teams to analyze markets, forecast price movements, and manage risk with speed and precision. If you’re passionate about engineering impactful solutions in a high-performance trading environment, this … is an opportunity to drive innovation at the intersection of data, technology, and commerce. Salary and Benefits Competitive salary of up to £130,000 (DOE) Performance bonus of up to 30% Comprehensive medical, dental, retirement, and life insurance Wellness and employee assistance programs Parental and family leave policies Two paid days annually to volunteer with local charities 23 days … office workflows and analytical models. Develop robust Python-based services and APIs using modern frameworks, microservice architectures, and best-practice design principles. Design and maintain tools that support market data ingestion, supply & demand modeling, and position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. More ❯
Senior Data Scientist Up to £70,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate … client and individual customer outcomes. Develop and maintain predictive models using datascience and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/ More ❯
Senior Data Scientist Up to £70,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate … client and individual customer outcomes. Develop and maintain predictive models using datascience and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/ More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Oliver James
at Scale: Integrate your agents into enterprise ecosystems (ERP, CRM, financial platforms) and deploy on cloud platforms like Azure, AWS, or GCP with robust observability. Collaborate & Influence: Partner with data scientists, product managers, and stakeholders to translate complex business needs into intelligent, autonomous workflows. Champion Ethical AI: Ensure your agents comply with regulations (GDPR, financial compliance) and guard against … deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, DataScience, or related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI/CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll Measure More ❯
Leeds, West Yorkshire, England, United Kingdom Hybrid / WFH Options
Oliver James
at Scale: Integrate your agents into enterprise ecosystems (ERP, CRM, financial platforms) and deploy on cloud platforms like Azure, AWS, or GCP with robust observability. Collaborate & Influence: Partner with data scientists, product managers, and stakeholders to translate complex business needs into intelligent, autonomous workflows. Champion Ethical AI: Ensure your agents comply with regulations (GDPR, financial compliance) and guard against … deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one or more business domains such as finance, housing, operations, or customer service. Preferred Extras: Degree in Computer Science, AI, DataScience, or related fields. Experience with LangChain, CrewAI, Autogen, MLOps, CI/CD, and enterprise systems like SAP, Oracle, or Salesforce. How You'll Measure More ❯
regulatory frameworks (GDPR, PSD2, EU AI Act, Solvency II, healthcare regulations) Convert PoCs into repeatable offerings for cross-client adoption Qualifications Bachelor's or Master's degree in Computer Science, Engineering, DataScience, or related field Certifications in Enterprise Architecture (e.g., TOGAF), AI/ML, or Cloud platforms are a plus Essential skills Extensive experience in Enterprise … Architecture, Data & AI, or Digital Transformation Deep industry knowledge in Banking, Insurance, Payments, Retail, or Life Sciences Strong grasp of AI-enabled use cases such as fraud detection, hyper-personalisation, or patient analytics Familiarity with financial and healthcare regulatory landscapes (GDPR, PSD2, EU AI Act, HIPAA) Excellent communication, client engagement, and workshop facilitation skills Proven ability to work in More ❯
Role Title: ETRM Data Modeler Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders … learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to datascience (e.g., pandas, numpy, statsmodel More ❯
Lead Data Scientist - Routing Salary: Up to £100k + Benefits Location: London, Hybrid Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive … real-world efficiencies. This is an opportunity to be part of a high-impact, production-focused environment where datascience meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing … teams with a fast-delivery mindset A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done If you're a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we'd love to hear from More ❯
Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and datascience skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯
Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and datascience skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯
Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and datascience skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯
and IT leaders to define standards, governance and architectural guardrails that ensure consistency, compliance and scalability. Over time, you'll build and lead a team of solution engineers and data scientists focused on delivering cutting-edge AI solutions.Success in this role means being a trusted expert and a strategic thinker who can translate complex technical concepts into business value. … ll need: A strong foundation in AI/ML technologies including GenAI, NLP, computer vision and automation, with hands-on experience in platforms like Palantir, Agentforce, Copilot and Azure Data Intelligence Proven experience designing and implementing AI solutions across multiple domains, ideally within regulated environments Excellent communication and stakeholder engagement skills, with the ability to lead cross-functional teams … and manage technical talent A Bachelor's or Master's degree in Computer Science, Engineering, DataScience or a related field, plus relevant certifications in AI/ML tools You. Unlimited. We believe in creating the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion and Belonging: Committed to More ❯
or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or DataScience with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience … Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the ability to … the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine More ❯