101 to 125 of 345 Machine Learning Jobs in the East of England

Search is hiring exceptional Machine Learning Engineers and Researchers to join its first ML team. The role focuses on C++ based ML development, strong statistics, and mathematical foundations, with 5+ years of experience requested in the posting. You will work directly with a visionary founder to build core ...

Define FAIR-compliant standards for translational/biomarker data (omics, imaging, proteomics, etc.). Establish quality frameworks and SLAs aligned to regulatory, AI/ML, and precision medicine use cases Build semantic schemas and harmonization layers enabling integration of data from diverse sources (labs, vendors, partners) into reusable, consumable data … reduce manual curation (e.g., schema-driven harmonization, intelligent quality assurance). Measure efficiency gains Ensure integration with enterprise systems (clinical data lakes, AI/ML platforms) Pilot new technologies (agentic AI, ML-driven quality assurance) at scale Team Leadership & Cross-Domain Coordination Recruit, mentor, and scale a 12–15 person ...

document processing solutions. Exploration and Deployment of AI Opportunities Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive … improvement You’ll receive: United Kingdom : Competitive salary, Annual bonus, Pension scheme, Health insurance, 24 days annual leave, Flexible working arrangements, Employee recognition scheme, learning and development opportunities. Netherlands: We offer temporary employment for 1 year with probation period with flexible working, learning and development opportunities. We offer ...

candidate should possess: Degree in Computer Science, Information Systems, Engineering, or a related field. Equivalent practical experience is also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms … Work on cutting-edge AI products that shape the future of technology Collaborate with talented, passionate teams across research, engineering, and design Access continuous learning opportunities and career development pathways Make an Impact Transform AI research into products that solve real problems for clients and users Drive innovation ...

Databricks Workflows Jobs orchestration Notebooks Repos Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

simulation software (e.g. Aspen Plus, HYSYS). Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients. Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction. WHAT NEUTREENO CAN OFFER YOU Compensation & Benefits: Competitive salary dependent on your skills, qualifications ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

organisation is growing its technical team and offers structured mentorship from senior scientists and engineers. What the job involves The role centres on applying machine learning to unusual, real-world problems, often without an existing playbook to follow. You'll combine off-the-shelf tools with custom-built … similar) Some evidence of research capability, from postgraduate study, personal projects, or applied experience Confident Python developer, comfortable with at least one common ML framework Broad exposure to different ML approaches, or a track record of picking up new areas quickly A rigorous, analytical mindset with genuine curiosity about ...

training pipelines • Source and, where appropriate, preprocess datasets for training and evaluation • Fine-tune and optimise open weight models (LLMs, vision or traditional ML) • Build evaluation frameworks and define performance metrics • Develop and maintain data pipelines and training workflows • Analyse training pipelines and optimise for latency, cost and scalability • Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

Develop automation and monitoring tools using Bash, Python, or similar scripting languages. Manage and secure container images and related storage used for AI and ML workloads. Integrate storage systems with public cloud services (AWS, Azure, GCP) and hybrid environments. Troubleshoot complex storage and data flow issues, collaborating closely with ...

ready visualizations and narratives Ability to connect insights to business outcomes and influence strategy Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling Passion for fostering inclusive team environments and valuing diverse perspectives Clear communicator who can translate complex technical concepts into actionable business language ...

multi-person team delivering production services Experience with large-scale biological datasets Experience working with the Apache Parquet file format Experience implementing AI/ML approaches for quality control and/or genome annotation Behaviours we value in our team: You bring curiosity, enthusiasm, and a focus on impact ...

/Developer (Python Machine Learning AWS) Remote UK to £90k Are you a data savvy Backend Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on Backend Software Engineer role as part of a friendly and supportive ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value - agents that use tools, orchestrate multi-step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals - you write clear, tested, maintainable Python code that others can build on Fluency with ...