1 to 25 of 41 Contract Machine Learning Jobs in England

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 ...

This is an exciting opportunity for an ambitious Artificial Intelligence and Machine Learning graduate to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate. The successful candidate will undertake a 36-month collaborative project between R&B Switchgear Services Ltd and the University of Salford. … will be developing safe AI systems capable of operating within safety-critical engineering environments. You will work with complex multimodal datasets, train and evaluate machine learning models and ensure AI outputs are accurate, transparent and trusted by engineering teams. You will manage a strategically important innovation project ...

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 ...

Initial 6-month contract with strong likelihood of extension Overview Our client is seeking a skilled Cyber Security Specialist to join their dynamic Data & Machine Learning team. This exciting role involves supporting a variety of innovative AI initiatives within one of the UK's leading financial services organisations. … Intelligence, collaborating closely with engineering, data, and product teams to uphold security best practises and regulatory compliance. Responsibilities: Collaborate with teams developing AI and Machine Learning solutions across the organisation. Review and assess AI use cases to ensure security, compliance, and readiness for production deployment. Provide cyber security ...

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 ...

translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders. An awareness of AI and machine learning concepts and a strong interest in developing knowledge of emerging AI technologies. The role does not require hands-on model development, data … face value. Strong collaboration and influencing skills, with the ability to drive clarity and progress without direct authority. Desirable Previous experience working on AI, machine learning, data or emerging technology initiatives. Experience within insurance or financial services. Experience working within research, innovation or R&D environments. Experience supporting ...

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 ...

with teams using Informatica and other integration technologies to design robust data integration and transformation processes. Identify opportunities to incorporate emerging capabilities such as machine learning and AI into data solutions where appropriate. Provide architectural guidance and support throughout the full solution lifecycle, from initial design through … reporting and visualisation. experience using Power BI for dashboards and business intelligence reporting. Familiarity with Informatica for data integration and transformation. Understanding of machine learning and AI concepts and their potential application in data solutions. experience working on regulatory change or compliance-driven programmes. background in large-scale ...

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 ...

attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine ...

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 ...

Experience influencing technical decisions and supporting capability growth. Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to Ansible and Terraform Understanding of ML algorithms and deployment ...

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 ...

tools into business-as-usual operations, ensuring smooth handover and sustainable use. Facilitate testing and validation of new technologies such as computer vision models, machine learning analytics, IoT and real-time telemetry enhancements, and AI-based decision support systems. Document capability gaps and manage delivery risks related ...

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 ...

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 ...

satellite, sonar or other real-world sensing systems Familiarity with MATLAB, Simulink, Python, Perl or MathCAD Understanding of digital twins, autonomous systems, artificial intelligence, machine learning, augmented or virtual reality and the Internet of Things Knowledge of the defence industry, including relevant UK government strategy and geopolitical influences ...

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 ...

Azure/Fabric experience. Advanced Power BI skills and experience operationalising models. Ability to communicate insights clearly to non-technical stakeholders. Machine Learning Experience. Equal Opportunities Statement We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities ...

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 ...