376 to 400 of 1,108 Machine Learning Jobs in the UK

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. … building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role ...

/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative … product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes ...

stakeholders What will be involved in the role: Designing, building and maintaining robust, scalable data pipelines and data models Developing and implementing AI/ML and Generative AI solutions aligned to business needs Integrating structured and unstructured data from multiple systems Implementing testing, monitoring and optimisation to ensure reliability … Data Developer or AI Engineer Strong programming skills in Python and SQL Hands-on experience building and maintaining data pipelines Exposure to AI/ML frameworks Experience with cloud platforms, data warehouses or big data technologies Strong analytical and problem-solving skills Comfort working in Agile delivery environments Eligibility ...

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150+ strong AI and Data capability brings together deepexpertisein machine learning, generative AI, agenticAIand data. We are an award-winning practice and pioneers in Responsible AI, and we partner with leading organisations … weektraining program internal and external on, but not limited to the following; Cloud concepts Databases ETL Flows monitoring Data visualisation QueueingSystems AI/ML Agentic AI Data monitoring MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: Working as part of a team you will work alongside colleagues in engineering ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150+ strong AI and Data capability brings together deepexpertisein machine learning, generative AI, agenticAIand data. We are an award-winning practice and pioneers in Responsible AI, and we partner with leading organisations … weektraining program internal and external on, but not limited to the following; Cloud concepts Databases ETL Flows monitoring Data visualisation QueueingSystems AI/ML Agentic AI Data monitoring MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: Working as part of a team you will work alongside colleagues in engineering ...

equivalent experience) in Computer Science, Software Engineering, Data Science or a related STEM field. Substantial experience designing, building and deploying enterprise AI/ML solutions, including technical leadership on complex projects. Track record of delivering secure, scalable software or data systems, with experience leading a small engineering team and/… partners. Strong leadership and communication skills, with the ability to guide technical teams and work effectively with stakeholders. Deep knowledge of modern AI/ML architectures, including practical experience developing or integrating machine learning models or AI agents. Strong software engineering capability, including Python, cloud platforms, and MLOps ...

looking for a mid-level Data Engineer to join their team - building real-time decision engines that helps businesses optimise customer interactions using machine learning and automation. This is a great opportunity for someone with strong fundamentals (Python and SQL) - ideal for someone who thrives in a start … projects or evidence of curiosity Nice to have: pandas experience Exposure to Azure or AWS Basic Docker or DevOps knowledge Interest in AI/ML Experience with streaming tools (Kafka, RabbitMQ) Hybrid working – 3 days per week in a central London office (Tues - Thurs) If you’re excited ...

architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features ...

controls. Design and maintain CI/CD pipelines, containerisation, and cloud deployment processes. Collaborate with architects and data science teams to integrate AI and machine‐learning capabilities. Work closely with product and UX teams to deliver intuitive customer experiences. Provide technical governance, engineering assurance, and risk management across ...

Kubernetes) Trusted computing (Trusted Platform Modules), digital signatures, and public key infrastructures Cryptography and practical experience of cryptography libraries Experience in, or knowledge of, machine learning solution architectures including Large Language Models (LLMs) Strong software engineering skills Embedded Systems Experience in or knowledge of cloud computing (AWS/ ...

APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling across relational, columnar and vector stores, grounded in sound ...

environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams – diving deep into selected ones to help them achieve great results with … intelligence that powers how Accurx understands patient healthcare requests. Challenges you’ll solve... You will set the technical direction for how AI/ML capabilities are built, deployed, and evolved across the organisation – defining both the what and the how, and ensuring alignment with Accurx's broader product roadmap. ...

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...

Senior ML Platform Engineer London 5 Days a Week In Office £550-£700 Per Day, Outside IR35 Immediate Start The Company They are a technically ambitious organisation building advanced machine learning systems tightly integrated with real-world systems. Their platform supports the full lifecycle from data collection through … data collection and dataset workflows. Design and maintain robust recording and orchestration systems that scale across robots, sensors, and lab environments. Collaborate with the ML team on dataset builders, ingestion pipelines, and infrastructure supporting large-scale distributed training. Partner with robotics engineers on ROS2 integration, on-robot deployment, and clean ...

Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments. Proven experience working … project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change ...

CDISC, GCP, FDA/EMA guidelines. Champion the adoption of agile principles, new technologies, tools and methodologies (including risk-based QC and AI/ML-enabled automation) to improve programming efficiency, data analysis capabilities and study operations, and to address complex technical challenges across projects. Represent programming in internal … have them, please still apply: Experience championing and guiding others in the use of Artificial Intelligence/Machine Learning (AI/ML) tools or applying these tools to improve efficiency across project and multiple studies. Experience leading cross functional and external initiatives and representing programming in internal technical ...

expertise in the fields of data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership ...