on Generative AI solution design and developmentResearching and implementing cutting edge techniques, methodologies and approachesTaking projects from design, through proof of concept and into production and developing and delivering datascience solutions using a variety of data sourcesLeading stakeholder management and issue resolution on project workIdentifying, sourcing, and engineering data to support datascience activitiesCollaborating with other data professionals and business stakeholdersEnsuring all work is fully documented and quality assuredTaking solutions through internal governance and risk management processes Experience Required- Degree in a quantitative discipline (e.g., statistics, computing science, datascience) or equivalent experienceExperience in dealing with high volumes of data with excellent attention to detailKnowledge of a … wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong analytical and problem-solving skills Disclaimer: This vacancy More ❯
AI solution design and development Researching and implementing cutting edge techniques, methodologies and approaches Taking projects from design, through proof of concept and into production and developing and delivering datascience solutions using a variety of data sources Leading stakeholder management and issue resolution on project work Identifying, sourcing, and engineering data to support datascience activities Collaborating with other data professionals and business stakeholders Ensuring all work is fully documented and quality assured Taking solutions through internal governance and risk management processes Experience Required- Degree in a quantitative discipline (e.g., statistics, computing science, datascience) or equivalent experience Experience in dealing with high volumes of data with … excellent attention to detail Knowledge of a wide variety of Generative AI models Conceptual understanding of how large language models work Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python) Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential) Experience with cloud native tooling for Azure and More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Lorien
and products. As well as this, you'll be: Working closely with business stakeholders to define detailed, often complex and ambiguous business questions, problems or opportunities Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way … business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, datascience and data engineering work that is easily understandable and links back clearly to our business needs The Skills You'll Need We're looking for a … capable leader with a passion for data and analytics, and experience of coaching and supporting their colleagues to succeed. Along with advanced analytics knowledge, you'll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling?. Requires 3-5 years (at least) experience in: Tableau SQL Excel Snowflake More ❯
call me on 07887 575829. About the Role We are seeking a highly motivated and experienced Product Manager with active UK*C/eDV to lead and deliver complex data-focused projects within a secure and fast-paced environment. The ideal candidate will have a strong background in product lifecycle management, stakeholder engagement, and data systems or platforms … preferably within the public sector, defence, or highly regulated industries. Key Responsibilities Own the end-to-end product lifecycle for data-centric products, from discovery and strategy through to delivery and continuous improvement. Define product vision, roadmap, and success metrics aligned to customer needs, business goals, and regulatory requirements. Work closely with cross-functional teams (engineering, datascience, DevOps, UX/UI, compliance, etc.) to ensure timely delivery of high-quality solutions. Act as the voice of the customer and advocate for data-driven decision making. Manage product backlogs, define user stories, and prioritize features based on value, risk, and dependencies. Collaborate with internal and external stakeholders, including senior leadership, government agencies, and third-party vendors. 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 - Hybrid working - London based Looking for a highly skilled Data Engineer to join our growing data platform team. You will be responsible for designing, building, and optimising large-scale data pipelines and services that power analytics … reporting, and data-driven decision-making across the business. This role is heavily cloud-focused (AWS) and requires strong expertise in Python, Spark, and relational databases. Role Design, build, and maintain scalable, reliable, and high-performance data pipelines and workflows. Develop clean, maintainable, and testable code in Python for data ingestion, transformation, and processing. Optimise and fine … tune query performance on Aurora Postgres and other relational databases. Architect and manage data solutions on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
Marketing AdTech Data Analyst Location: London (hybrid 3 days per week onsite) Contract: 12 months, up to £425pd inside IR35 Our client is looking for a highly skilled Data Analyst to join a fast-paced ad-tech environment supporting data-driven marketing and advertising initiatives. This role is ideal for someone who thrives at the intersection of … analytics, marketing strategy and technical execution, with strong hands-on experience in Tableau, SQL and Python. You'll work closely with global stakeholders across Marketing, Sales, Engineering and external data partners to deliver insights, optimise campaign performance and shape go-to-market strategies for digital advertising products. What You'll Do: Deliver custom insights and analytics to support marketing … track KPIs, campaign performance and user engagement. Develop and maintain ETL pipelines using SQL and Python. Translate business needs into analytical requirements, communicating findings with clarity and impact. Conduct data analysis and A/B testing to measure the effectiveness of marketing initiatives. Contribute to scalable reporting solutions, data transformation and automation strategies. What You'll Bring: Professional More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
AWS Data Engineer - Contract Duration: 6 months Location: Mostly remote (occasional office visits) Rate: £500-£550 per day (Outside IR35) I'm partnering with a global consultancy that is looking for a Data Engineer to enhance its evolving data infrastructure and drive operational excellence. This is a hands-on role where you'll play a key part … in business-critical operations, tackling complex data challenges, supporting cross-functional initiatives, and improving core data systems. As a central member of the data team, you'll be responsible for building and maintaining scalable data pipelines, resolving data quality issues, and collaborating closely with analysts, engineers, and stakeholders. If you thrive in a fast-paced … environment and enjoy optimising data systems, this could be a great match. Key Responsibilities: Design, develop, and maintain scalable data pipelines for both operational and analytical needs Ensure high data integrity through best practices in validation and quality assurance Investigate and resolve data issues, identifying root causes and implementing sustainable solutions Lead and support dataMore ❯
week on-site 6 Months + UMBRELLA only- Inside IR35 Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks . Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics, BI, and datascience teams to deliver clean, reliable datasets. Implement data quality checks (dbt tests, monitoring) and ensure governance standards. Manage and monitor Databricks clusters & SQL Warehouses to support workloads. Contribute to CI/CD practices for data pipelines (version control, testing, deployments). Troubleshoot pipeline failures, performance bottlenecks, and scaling challenges. Document workflows, transformations, and data models for … knowledge sharing. Required Skills & Qualifications 3-6 years of experience as a Data Engineer (or similar). Hands-on expertise with: DBT (dbt-core, dbt-databricks adapter, testing & documentation). Apache Airflow (DAG design, operators, scheduling, dependencies). Databricks (Spark, SQL, Delta Lake, job clusters, SQL Warehouses). Strong SQL skills and understanding of data modeling (Kimball, DataMore ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their datascience function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning More ❯
Design, develop, and maintain PowerBI reports and dashboards to present key business metrics and trends. Create custom visuals and complex reports using PowerBI's built-in functionalities and DAX (Data Analysis Expressions). Translate business requirements into technical specifications for data collection, analysis, and reporting. Perform data validation to ensure accuracy and consistency in reporting. Collaborate with … and interpreting PowerBI dashboards. Monitor and optimise the performance of PowerBI solutions. Troubleshoot and resolve issues related to PowerBI reports and dashboards. Develop and maintain documentation for PowerBI reports, data sources, models, and processes. Ensure BI solutions align with industry best practices and internal standards. Experience: Bachelor's degree in Computer Science, Information Systems, DataScience … PowerBI Developer. Strong expertise in Microsoft PowerBI, including PowerBI Service, PowerBI Desktop, and PowerBI Report Server. Proficiency in DAX for creating custom calculations and measures. Experience with SQL for data discovery and manipulation. Ability to analyse complex datasets and provide actionable insights. Strong problem-solving skills and attention to detail. Effective communication skills for both technical and non-technical More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Searchability NS&D
Palantir Foundry Data Engineer - DV Cleared NEW CONTRACT OPPORTUNITY FOR A PALANTIR FOUNDRY DATA ENGINEER TO WORK ON A NATIONAL SECURITY PROJECT IN LONDON WITH DV CLEARANCE - Contract role in London for a Palantir Foundry Data Engineer - Must hold DV Security Clearance - Central London based - Daily rate up to £800 - Hybrid position - To apply, email: or call … Who we are... We are seeking an experienced Palantir Foundry Data Engineer with current DV clearance to join a high-profile programme. This is a contract position offering hybrid working and a daily rate of up to £800 . In this role, you will be responsible for designing, developing, and optimising data pipelines and integrations within Palantir Foundry … ensuring data is efficiently processed, transformed, and made available for analysis and operational use. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver robust, secure, and scalable data solutions. What we're looking for... Key Responsibilities: Develop and maintain data pipelines and workflows in Palantir Foundry Integrate diverse data sources, ensuring More ❯
deploy scalable APIs (Flask/FastAPI) for internal and external tools. Partner with business users to gather requirements and iterate quickly on solutions. Implement testing frameworks, version control, and data validation processes. Integrate with market data, storage systems, and reporting platforms. Required Skills 5+ years' Python development experience, ideally within trading, risk, or financial services. Strong background with … Pandas, NumPy, and datascience libraries . Hands-on experience with Flask or FastAPI for API development. Proficiency in time-series data manipulation and back-testing methods. Experience working with large datasets and real-time data pipelines . Strong performance optimisation and debugging skills. Confident communicator with the ability to liaise directly with business stakeholders. Desirable … Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate: Competitive, depending on experience McGregor More ❯
/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. Key responsibilities Define and implement … for generative AI (and in particular language) applications. Perform user research to understand the application's risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff and data engineers … in the team and across allied teams, to build an end-to-end pipeline consuming other data products Deliver ML- and data-driven insights on GenAI datasets. Basic qualifications: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or dataMore ❯
supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff have expertise across hundreds of specialisms - for example, clinical, operational, commissioning, technology, datascience, cyber security, computer science, software engineering, education and training, and commercial - so we can design and deliver quality NHS services effectively. We lead the NHS in … to build trusted stakeholder relationships and wide support networks Highly analytical with a structured and methodical approach to problem solving and able to translate and interpret large amounts of data Qualifications Essential Masters or equivalent qualification, specifically in a computer, scientific or mathematical subject or equivalent experience Evidence of specialist knowledge in Cloud and DevSecOps Disclosure and Barring Service More ❯
at Moorfields Eye Hospital, London has recently been awarded funding from the National Institute for Health Research (NIHR) to optimise the delivery of world class research in ophthalmology and science associated with vision and sight. The Facility forms part of the Moorfields NIHR Biomedical Research Centre for Ophthalmology, a joint initiative between Moorfields Eye Hospital and University College London … Institute of Ophthalmology and is one of three London based Academic Health Science centres which together form the University College London Partners. The CRF is dedicated to the delivery of high quality clinical research, including experimental medicine and translational research studies, pioneering new therapies for the treatment of a range of ophthalmic disorders. It offers a clinical environment in … Full time will be considered. Previous Applicants need not apply. Main duties of the job A key responsibility of the role is to develop a clear understanding of the data resources available from Moorfields' clinical systems. Building on this knowledge, the post holder will work both independently and in close collaboration with the AI and DataScienceMore ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years … in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). … interest in Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to DataScience, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯
interest and understanding of embeddings, generative IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in DataScience and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote More ❯
CONTRACT PALANTIR DATA ENGINEER - DV CLEARED NEW OUTSIDE IR35 CONTRACT OPPORTUNITY AVAILABLE WITHIN A HIGHLY SECURE DELIVERY PROGRAMME FOR A DV CLEARED PALANTIR FOUNDRY DATA ENGINEER. Contract opportunity for a Palantir Data Engineer to support cutting-edge National Security projects Up to £650 per day (Outside IR35) DV clearance is essential Based full-time onsite in London … delivery team off the back of major success in the secure consultancy space. As part of a key programme of work, we are looking to build an additional Palantir Data Engineering team to help deliver mission-impacting solutions within a fast-paced, secure environment. WE NEED THE PALANTIR DATA ENGINEER TO HAVE... Proven experience building and deploying applications … using Palantir Foundry Strong software/data engineering background - Computer Science, Physics, Maths, Data Science. Proficiency in Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical More ❯
CONTRACT PALANTIR DATA ENGINEER - DV CLEARED NEW OUTSIDE IR35 CONTRACT OPPORTUNITY AVAILABLE WITHIN A HIGHLY SECURE DELIVERY PROGRAMME FOR A DV CLEARED PALANTIR FOUNDRY DATA ENGINEER. Contract opportunity for a Palantir Data Engineer to support cutting-edge National Security projects Up to £650 per day (Outside IR35) DV clearance is essential Based Full time onsite in London … delivery team off the back of major success in the secure consultancy space. As part of a key programme of work, we are looking to build an additional Palantir Data Engineering team to help deliver mission-impacting solutions within a fast-paced, secure environment. WE NEED THE PALANTIR DATA ENGINEER TO HAVE Proven experience building and deploying applications … using Palantir Foundry Strong software/data engineering background - Computer Science, Physics, Maths, Data Science. Proficiency in Python and JavaScript/TypeScript Experience solving technical problems involving cloud, infrastructure, data pipelines, or full-stack apps Ability to design and manage Ontologies and build applications using Foundry tools like Workshop Strong communication skills to collaborate with technical More ❯
having the headcount to oversee some of the projects. So, we're looking for the right person to come in and look after two teams of ML Engineers and Data Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine … Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) DataScience Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering Scalable ML systems (batch and real-time) ML pipelines, CI/CD, monitoring, deployment Familiarity with tools like MLflow, Kubeflow More ❯
We specialise in bringing expert talent solutions across the full digital spectrum by tapping into our extensive network of specialists. From AI, Software Engineering, Cloud, DevOps, Cyber Security to DataScience, Networking & Infrastructure as well as Digital Marketing, we combine deep tech sector expertise with large-scale talent solutions, giving our clients the confidence and the agility to More ❯
We specialise in bringing expert talent solutions across the full digital spectrum by tapping into our extensive network of specialists. From AI, Software Engineering, Cloud, DevOps, Cyber Security to DataScience, Networking & Infrastructure as well as Digital Marketing, we combine deep tech sector expertise with large-scale talent solutions, giving our clients the confidence and the agility to More ❯
work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, datascience, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and … cross-functional Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in … and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Engineer (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £575prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. Working … alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - Nice to have (Full Support from Engineering Manager) Hands on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have More ❯