1 to 25 of 27 Temporary Machine Learning Jobs in the UK excluding London

effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data … native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns ...

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 ...

already out there. Responsibilities Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … deliverables. Publish, contributing to papers, technical reports, and conference talks that put Oxfida's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. Knowledge ...

GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal AI and agentic AI systems Experience using machine learning, statistical modelling … Java Experience with Spark, Databricks or similar distributed data platforms, and exposure to MLOps Experience of AWS, Azure or GCP AI/ML services, ideally with vendor certifications An MSc or PhD in Data Science, AI, Computer Science, Maths or a related field, or NVIDIA Deep Learning Institute certifications ...

with government and MOD stakeholders on secure projects where your analysis has real operational impact. Key responsibilities * Design, build and deploy data science and machine learning solutions for defence and security use cases * Develop scalable data pipelines and analytics using PySpark on large, complex data-sets * Translate operational … communicate complex findings clearly * Active DV (Developed Vetting) clearance, or the ability to obtain it Desirable * Experience in defence, intelligence or national security * Machine learning, NLP, geospatial or time-series analytics * Experience with cloud platforms or on-premise big data environments * Familiarity with Agile delivery Please note: This ...

forecasting, segmentation and data storytelling across the team. Apply advanced hands-on analytics using Python/R, SQL, Power BI and relevant statistical or machine learning techniques, ensuring outputs are robust, scalable, automated where appropriate and suitable for repeated business use. Own and govern … used across multiple business areas. Advanced hands-on capability in SQL, Python or R for advanced analysis, automation, statistical modelling, forecasting, experimentation, segmentation or machine learning use cases. Demonstrable experience partnering directly with Business Partners, heads of function, directors or equivalent senior leadership audiences. Proven ability to coach ...

secrets management. Establish Git workflows, continuous integration and deployment, versioning and releases. Operate cloud environments, backups, monitoring, alerting and security hardening. Integrate LLM and machine-learning services behind structured, validated and auditable interfaces. Implement deterministic modelling workflows, background jobs, logging and operational tooling. What you will build HEEAT … maps, canvas or SVG editing, floorplans, image processing or LiDAR. Infrastructure as code and cloud operations. Open-source software development. LLM, multimodal AI or machine-learning services in production. Domestic energy, building performance, heat pumps, solar PV, batteries or smart-meter data. Remote working Flexible working Flexible hours ...

data engineering and integration solutions meet wider architectural requirements. Support the delivery of data capabilities involving Artificial Intelligence (AI) and Machine Learning (ML). Apply appropriate data governance, assurance and architectural frameworks, particularly for AI-enabled services. Work with technical stakeholders to develop robust, scalable data solutions aligned … integration, data modelling and complex pipeline design. Knowledge of data governance, assurance frameworks and data migration. Experience delivering data capabilities associated with AI and Machine Learning. Understanding of assurance and governance frameworks for AI-enabled services. Active Security Check (SC) clearance. Experience within Army Digital, data fabric, Zodiac, software ...

work collaboratively in a cross-functional, agile team environment. Preferred Qualifications · Experience in regulated industries (e.g., banking, insurance, healthcare). · Knowledge of AI/ML platform monitoring and controls. · Experience with log aggregation tools (ELK Stack, Splunk, etc.). · Familiarity with operational risk, compliance, or audit reporting. ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile environment ...

where you'll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. You'll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design ...

activities. Automate operational processes, including incident response, failover, scaling and recovery. Implement self-healing mechanisms using auto-remediation, event-driven workflows and AI/ML-assisted operations where applicable. Implement Infrastructure as Code (IaC) and reduce manual effort through CI/CD pipelines, automated testing and deployment strategies such ...

equivalent professional experience Nice-to-have SAP RISE or cloud migration programme experience Background in financial analysis or process improvement Exposure to advanced technologies: machine learning, real-time data pipelines, event-driven architecture Knowledge of compliance frameworks (CSDR, QMS) or security architectures (DMZ, F5) What roles of this ...

science, chemometrics, and analytical science. Desirable Skills Knowledge or experience of analytical science data, particularly LC and/or GC techniques. Exposure to chemometrics, machine learning, or supervised modelling approaches. Experience developing automated data workflows or reporting tools. Qualifications Degree (or equivalent qualification) in Data Science, Computer Science ...

work effectively in a remote team. Desirable experience The following would strengthen your application but are not essential: Experience delivering data engineering within ML or AI programmes. Experience working with marine data. Experience processing or managing geospatial datasets. Clearance and eligibility Applicants must hold active SC clearance that has been … Python and Airflow experience and meet the clearance and nationality requirements, please send your latest CV along with your availability. Please highlight any relevant ML, AI, marine or geospatial experience in your application. ...

TOGAF, SysML, UML) · Experience of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, autonomous systems, AR/VR, AI/ML, IoT, etc. · Experience of mathematical simulation tools/languages (e.g. Mathworks MATLAB, Simulink, Perl, Python, MathCAD) · Knowledge of the defence industry, including geopolitical influences and current ...

protective monitoring capabilities. What We're Looking For * Strong experience in Information Security Architecture or Security Assurance . * Experience working with AI systems, machine learning technologies or emerging AI platforms . * Proven ability to design and implement security controls for large-scale technology programmes. * Strong understanding of security ...

. It will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

virtual switches. Experience in setting up, implementing and maintenance of cyber security tooling. Experience with the creation, testing and maintenance of AI or machine learning technologies to assist with the optimisation of work flows or play books. Experience with SIEM (Security Information Event Management) technologies ...

highly regulated environments. Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

highly regulated environments. Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR. Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation. Exposure to MLOps, AI model monitoring and automated governance processes. Experience working within secure or restricted technology environments. ...

guide cross-functional teams on AI adoption. Must-Haves Candidates must meet the following minimum criteria: Experience: 4+ years in software, data, or ML engineering, including 2+ years building production LLM apps, RAG, or autonomous agents. Python: Expert-level production Python (FastAPI, Pydantic, asyncio, pytest, packaging). Agentic Frameworks: Hands … database AI (e.g., Snowflake Cortex) and agent security/jailbreak defense. Background in Pharmaceutical R&D, clinical development, or another heavily regulated sector. Classical ML experience (scikit-learn, time-series forecasting) and a strong GitHub/project portfolio. Randstad Technologies is acting as an Employment Business in relation to this ...

commercial industry. Requirements: C++ or relevant Object Oriented software development Familiarity with Electronics and lower-level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. … Familiarity with development to design and coding standards. Good teamwork and communication abilities Desirable: Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Knowledge of Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal Qualifications Additional information ...

with commercial objectives, and transition PoCs towards production readiness. Key Requirements: Proven experience as an AI Solutions Architect or Enterprise Architect delivering AI/ML solutions at enterprise scale. Strong expertise in enterprise integration patterns, including APIs, microservices, event-driven architectures and cloud-native services. Experience with MLOps, model deployment … operationalising AI/ML models in production environments. Deep understanding of LLMs, generative AI, agentic AI and their application to real-world business use cases. Practical experience designing and implementing vector-based search and retrieval systems within AI solutions. Strong knowledge of security, compliance and governance in AI systems, including ...