20 of 20 Contract Machine Learning Jobs in London

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. ...

ML Engineer £750 p/day | Inside IR35 | 6 Months | West London (2 days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity … work with large datasets, cutting-edge ML technologies, and cross-functional teams to build impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support ...

engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing … learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software engineering practices, producing readable, testable and maintainable code Experience integrating ML solutions into production systems and workflows Feels confident working in secure, regulated or high-assurance environments In Return You'll work on genuinely challenging machine ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

evaluate emerging technologies that can deliver measurable business outcomes. The successful candidate will combine strong data science expertise with hands-on experience across machine learning, Generative AI and Large Language Models (LLMs). You will work closely with multidisciplinary teams to rapidly assess ideas, develop proofs of concept … discovery, research and feasibility assessments. Analyse data sets, business processes and operational challenges to identify opportunities for AI adoption. Develop, test and evaluate machine learning and Generative AI prototypes. Design evaluation frameworks and performance benchmarks for AI solutions. Produce clear technical findings, insights and recommendations. Collaborate with engineers ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

with Airflow, Databricks Workflows or similar orchestration tools CI/CD pipeline development and DevOps practices Docker and Kubernetes Experience supporting data science or machine learning workloads This role will suit a Senior Data Engineer who enjoys remaining close to the technology and has strong recent experience building ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

back-end, and AI engineering teams Define and implement solution architecture, engineering standards, and best practices Drive the integration of Generative AI, LLMs, and machine learning capabilities into production services Work closely with senior stakeholders, product teams, architects, and delivery leads to align technical solutions with business objectives ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

solutions What We're Looking For Computer Vision: OpenCV, Object Detection, Video Analytics Machine Learning: PyTorch/TensorFlow Edge AI/Embedded ML: NVIDIA Jetson, TensorRT, ONNX Robotics: ROS/ROS2, SLAM Industrial IoT: Camera, LiDAR, Sensor Fusion, Telemetry Programming: Python and C++ Digital Twins & Simulation: NVIDIA Omniverse ...

Overview Role: AI Full Stack Engineer (AI & ML Engineer) Location: Fenchurch Street, London Duration: Oct 12, 2026 - Dec 15, 2026 (9 Weeks, 2 Days) Hours: 40 hours/week Rate: 291 PAYE/388 Umbrella Core Technical Stack Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic. AI & LLMs: Gemini ...

capability across data modelling, ETL/ELT processes, SQL optimisation and analytics engineering. Proven experience collaborating with Data Scientists, AI Engineers and/or Machine Learning Engineers to support the development and delivery … data-driven solutions and analytical workloads. UK Citizen and hold a minimum of active SC clearance. Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support data preparation for AI workloads. Defence/central-gov experience. ...

stakeholders and translating complex tech into real-world impact What we're looking for: Strong experience across software engineering, data platforms, and AI/ML Proven leadership in DevOps, cloud, and modern engineering practices Experience delivering in innovative or regulated environments Ability to operate in ambiguity and influence at senior ...

validate solution feasibility Develop technical proposals, RFP responses, statements of work and Bills of Materials Build and maintain reference architectures covering AI/ML, HPC and rendering workloads Required Experience: Strong background in HPC/AI software stack design and delivery Experience across GPU computing, workload optimisation and distributed ...

specialists within each team What We're Looking For Experience in a data-centric or technical engineering role, with strong interest in AI/ML Strong Python and SQL Working knowledge of LLMs - via APIs, RAG, or architectural design Solid data engineering fundamentals (data modelling, pipelines, structured/unstructured data … advise others rather than only building solo You don't need both skillsets below - strength in one is enough: Hands-on: building AI/ML pipelines or prototypes; vector databases; prompt engineering; orchestration tools (Airflow/Prefect); Git Advisory: designing AI/data architectures; Agentic AI principles (LangGraph, CrewAI, AutoGen ...

Data Transformation Architect/Engineer AWS Glue, ETL & AI/ML London - weekly/fortnightly workshops meetings £550£725~ per day inside IR35 6-month initial contract, with potential for extension Essential Consulting are working with a global life and health reinsurance company who are looking for an experienced Data … modernising its legacy data platforms and looking to automate existing data ingestion, mapping and transformation processes using modern cloud technologies and AI/ML capabilities. This is a hands-on technical role , suited to someone with a strong data engineering background who can design, develop and implement practical solutions rather ...