1 to 25 of 53 Machine Learning Jobs in Leeds

+ Excellent Benefits Job Type: Permanent, Full Time We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance. This is an opportunity to work on complex optimisation challenges at scale, developing models … that directly influence pricing decisions, customer outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production ...

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 ...

human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. What you'll be responsible for Owning the development and continuous improvement … state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms - ideally Azure ML, Functions and Blob Storage - or the willingness to transfer your knowledge to Azure. Experience with Git-based workflows, CI/ ...

Type Hybrid Work Hours 37.5 Responsibilities Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven … environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions ...

both technical and non-technical audiences. Ethical AI & Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Qualifications Proficiency in Python and C#. … plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

Engineer Purpose To lead the design and productionisation of Generative AI and LLM-driven applications, utilising GCP and Google’s AI ecosystem. The ML Engineer will architect scalable systems, mentor junior engineers and drive the technical roadmap for integrating Large Language Models into core products, demonstrating innovation and technical … advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional teams to translate complex business problems into ML-driven solutions. 3 Architect scalable LLM Ops pipelines on GCP (Vertex AI) for model fine-tuning, vector retrieval and low-latency inference. 4 Implement robust ...

environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions … security, data governance, quality and operational resilience requirements Evaluate and adopt new technologies where they add clear business value, from AI driven analytics and machine learning pipelines to modern cloud tooling and platform engineering Mentor other data engineers and grow the capability around you Build internal capacity across ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes … learning new programming languages - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior ...

ready architecture concepts - including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you At Accenture ...

equip students with a range of key skills essential for entry into this exciting and ever-evolving sector. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

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 ...

Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity, we foster a culture of collaboration, innovation, continuous learning, and career growth. About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build … extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Demonstrable experience operating at SFIA Level 4 or above in a commercial software engineering environment. Desirable Desirable: education A Masters degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science or a related subject A degree in a computing, mathematical or engineering subject A Level 3 qualification ...

working out how customers are going to behave. You enjoy problem solving, and will be building modelling solutions, including gravity modelling, regression and machine learning. You have an in-depth understanding, and can weigh the pros and cons of various modelling methodologies, including interpretability and practical application … MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong communication skills with proven ability to collaborate with remote global teams Evidence ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner A learning journey that’s made for you, delivered through ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description This … include: Hybrid working model with some flexible working Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access ...

exposure The business is increasing its investment in AI, including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...