1 to 25 of 5,626 Machine Learning Jobs in the UK

applications. Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent software … collaborate with multidisciplinary teams to create innovative products that solve complex business and operational challenges. Key Responsibilities Design, develop, and deploy advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model ...

entire Lantum platform and service architecture to scale Lantum’s next stage of growth. You will work alongside our heads of AI/ML and product, healthcare domain experts, and Operations teams while staying hands-on to ship code to production yourself. The role is a true full-stack … SecOps (or a majority thereof); mentoring, line-managing, and supporting engineering colleagues, and growing engineering organisations; supporting and synchronising development streams and deliverables with ML scientists, data scientists, product managers, or operations teams; and effective interaction and interfacing with senior management and domain experts in both technical and nontechnical domains. ...

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you’ll be working with … Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you’ll get stuck into side‐of‐the‐desk projects ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with … Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with … Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects ...

databases, and modern collaborative development practices using tools such as Git, Jira, GitHub, and GitLab. Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps … ontologies, and evidence-grounded AI in scientific, scholarly, biomedical, or other knowledge-intensive domains. Proven track record of deploying and scaling production AI/ML systems, including monitoring, drift detection, automated retraining, performance optimisation, and maintaining reliable, cost-effective, high-throughput solutions in regulated or high-trust environments. Demonstrated technical ...

cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models ...

future project delivery. Support technical demonstrations, bids, proofs of concept and customer workshops. Required Skills Strong Python development skills with experience using AI/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer … drive innovation. Required Qualifications Bachelor’s or Master’s degree in Engineering, or relevant technical military background with equivalent experience. Commercial AI/ML development experience. Experience deploying machine learning solutions into operational environments. Strong collaboration and stakeholder engagement skills. Desirable Skills Experience with MLOps, MLflow, Weights & Biases ...

future project delivery. Support technical demonstrations, bids, proofs of concept and customer workshops. Required Skills Strong Python development skills with experience using AI/ML frameworks such as PyTorch, TensorFlow, Scikit‐Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer … drive innovation. Required Qualifications Bachelor’s or Master’s degree in Engineering, or relevant technical military background with equivalent experience. Commercial AI/ML development experience. Experience deploying machine learning solutions into operational environments. Strong collaboration and stakeholder engagement skills. Desirable Skills Experience with MLOps, MLflow, Weights & Biases ...

challenges in safety-critical environments? As an AI Engineer within ALTEN, you'll play a key role in developing cutting-edge artificial intelligence and machine learning capabilities that support high-impact programmes across the defence and aerospace sectors. Working as part of a multidisciplinary engineering team … project delivery. Support technical demonstrations, bids, proofs of concept and customer workshops. Qualifications Required Skills Strong Python development skills with experience using AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer ...

Machine Learning, predictive modelling and optimization to complex business problems. Design analytical approaches for large and complex datasets. Develop, validate and optimize ML models. Establish robust model validation and performance measurement frameworks. Translate analytical outputs into actionable business recommendations. Guide Data Scientists in selecting appropriate modelling approaches based … architectures covering Data Science, LLMs, agents, APIs, databases and deployment infrastructure. Develop backend services using Python, Fast API or equivalent frameworks. Integrate ML models, LLMs, databases, APIs and external tools. Review technical implementations for scalability, maintainability and performance. Establish reusable engineering patterns and best practices for AI applications. Production & Cloud ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

research. Strong software engineering skills, with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend … systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Desired Experience with designing ...

assess agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes.Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required … identity and entitlement controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP.Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model ...

agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required … entitlement controls, observability, deployment automation, and cost and resilience trade‐offs across AWS, Azure, or GCP. Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance ...

agentic automation opportunities, define control and approval boundaries, iterate with users, and drive adoption through pilots, feedback loops, and measurable outcomes. Production AI/ML Integration: Build AI applications using LLM APIs, retrieval-augmented generation, embeddings, vector search, prompt and context management, structured outputs, response validation, and evaluation harnesses required … entitlement controls, observability, deployment automation, and cost and resilience trade-offs across AWS, Azure, or GCP. Demonstrated experience integrating LLM or AI/ML capabilities into production applications, including RAG pipelines, embeddings, vector databases or search indexes, prompt templates, context assembly, structured outputs, response validation, evaluation datasets, and model performance ...

initiatives, AI solutions and emerging technologies. Evaluate technology development, change management, model governance, AI lifecycle management, data quality and cybersecurity controls. Review AI solutions, machine learning models and intelligent agents for governance, accountability, explainability, fairness, transparency and regulatory compliance. Perform risk assessments and identify emerging technology … Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi‐agent systems, machine learning or predictive analytics. Experience with AI and data solution lifecycle controls, including data quality, data lineage, model testing, prompt testing, access controls ...

bespoke analytics to be applicable to the broader investment sectors so that the solutions can be redeployed periodically. Stay current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree … Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with measurable business impact. Strong programming skills in Python and SQL, with experience building robust analytical ...

coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‐paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact ...

highly skilled Data Scientists to join our team. As a Data Scientist, you’ll design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance. You will work closely with cross-functional teams, including data engineers, analysts … business stakeholders, to turn data into actionable strategies that drive business outcomes. The ideal candidate should have a strong background in applied ML and GenAI delivery (LLM/RAG), including evaluation, deployment, and governance in production environments. Key Responsibilities Design and deliver GenAI solutions including LLM/RAG (retrieval strategy ...

automated testing in data engineering environmentsImplement observability and monitoring using tools like Databricks Workflows and related frameworksContribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutionsRequirementsBachelor's or Master's degree in Computer Science, Software Engineering or related fieldExtensive experience designing … both technical and non-technical audiencesNice to haveExperience operationalizing LLM or Generative AI workflows in Databricks pipelinesFamiliarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicMLKnowledge of AI governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such as Certified Data Engineer ...

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 ...

cases. Hands‐on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models ...

Data Science Manager Are you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners. Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture ...

prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures.Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks.Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments … business.A little bit about you...Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field.Previous experience in AI, data science, ML engineering or advanced analytics.hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...