18 of 18 Machine Learning Jobs in Hemel Hempstead

most value. This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working, particularly around AI and ML adoption. You'll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation. What … data team Collaborating with Product and Engineering on strategic AI-driven initiatives Identifying and developing high-impact use cases for data science and ML Helping define ML lifecycle standards, documentation and governance Communicating insights and model outputs clearly to technical and non-technical stakeholders What we're looking for Essential ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques … regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...

, data science, and scientific discovery. Our teams work at the intersection of cloud infrastructure, high-performance computing, and data engineering, enabling researchers and ML practitioners to move faster—from experimentation to real-world impact. This role sits at the heart of the platform: designing, scaling, and operating systems that … This Role Is For (Choose Your Strength) We're open to different profiles and will shape the role around your strengths: AI Platform/ML Infrastructure Engineers Kubernetes-based compute platforms GPU scheduling, batch & distributed workloads Supporting ML training, inference, and experimentation at scale HPC/GPU Engineers Job schedulers ...

technical debt. Staying up to date with advancements in AI, agent architectures, and emerging best practices. What you’ll bring: Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. ...

architectural principles. Lead Solution Design: Translate complex requirements into scalable, secure, and innovative ServiceNow solutions. Exploit Emerging Tech: Harness Generative AI, automation, and machine learning to deliver transformative outcomes. Architect for Scale: Design robust solutions for enterprise-scale environments, ensuring performance, security, and compliance. Drive Best Practice: Establish ...

omnichannel support. Automate deployments via AWS CodeBuild, Jenkins, and Ansible; manage VPCs, RDS, and Elastic Beanstalk for Flex workloads. Enhance Flex with AI/ML integrations (e.g., AWS Lex, SageMaker) and performance tuning for global scale. Lead troubleshooting, security audits (IAM, GuardDuty), and cost optimization in dynamic environments. Requirements: 5+ ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

Celery, Sidekiq, Resque, SQS, etc.) Experience with observability stacks (e.g., Datadog, Prometheus, Grafana, Sentry) Strong Python skills Nice to haves Experience supporting AI/ML workloads in production Background in offensive security, CTFs, or security research ...

Postgres databases Experience with modern front-end development (TypeScript/React) Excellent written communication — clear, structured, and precise Nice to haves Publications at leading ML venues (e.g. NeurIPS, ICLR, ICML) or related research areas Familiarity with common LLM evaluation tooling (e.g. OpenAI Evals or similar frameworks ...

roles remain hands-on, with leadership scope depending on experience. What you'll do Build and deploy secure data pipelines, platforms, and AI/ML solutions Productionise analytics and ML, including GenAI and agentic patterns where relevant Translate Defence requirements into robust technical designs with stakeholders Support MOD capability … exposure, AWS, Azure, GCP, and/or Databricks Python, ideally PySpark, R helpful but not essential End-to-end pipelines, feature engineering, and production ML workflows Familiarity with LLMs, GenAI, or agent-based systems Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector Understanding of requirements artefacts ...

Senior/Staff AI Engineer (Python, ML Systems) - FULLY REMOTE High-growth AI | We're working with a well-funded, fast-scaling AI company building a highly ambitious product at enterprise scale. They're now looking to add Senior and Staff-level AI Engineers to help shape the next phase … their ML platform and establish strong technical leadership within the team. This is a product engineering role (not consultancy, not internal tools) with a heavy focus on ML systems, model deployment, and production AI infrastructure. What you'll be doing Designing and building production ML systems and pipelines in Python ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. *Hybrid contract position in london Key Responsibilities: Build and deploy end-to-end GenAI features and APIs Integrate and optimize LLMs … workflows Measure and improve model quality, performance, and cost Implement monitoring, testing, and observability for GenAI systems Collaborate with data scientists to productionize ML models Contribute to code reviews, design discussions, and GenAI innovation Required Qualifications 4+ years of software engineering experience, including experience working with ML/AI systems ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...