1 to 25 of 6,124 Machine Learning Jobs in the UK

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 … transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ML workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance ...

problems with machine learning techniques. Always with an ethical and accurate lens. 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. Where 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 ...

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 ...

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 ...

complex problems with machine learning techniques. Always with an ethical andaccuratelens. 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’llbe working with some … 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’llget stuck into side-of-the-desk projects ...

complex problems with machine learning techniques. Always with an ethical andaccuratelens. 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’llbe working with some … 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’llget stuck into side-of-the-desk projects ...

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 ...

Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering (e.g., TensorFlow Developer, Azure AI Engineer Associate) are desirable. Demonstrated commitment to continuous learning in AI system architecture, secure engineering, and cloud‐native development. … GenAI applications Strong hands‐on experience with cloud‐native AI development onMicrosoft AzureandGoogle Cloud Platform (GCP), including services such as Azure OpenAI, Azure ML, Vertex AI, and Gemini. Demonstrated ability to lead cross‐functional engineering teams across front‐end and back‐end disciplines. In‐depth understanding of secure engineering practices ...

seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This … defence and technology programmes. KEY RESPONSIBILITIES: Translate business and operational requirements into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training ...

data engineering environments Implement observability and monitoring using tools like Databricks Workflows and related frameworks Contribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutions Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field Extensive … technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks certifications such as Certified ...

communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you’ll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range … PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire ...

Title:**Senior AI/ML Engineer**Job Grade:**C15**Salary:** £48,200.00 DOE and location + Fantastic benefits **Location status:**Hybrid (flexible working options available) 3 days WFH **Location:**Bupa Place, Salford – Willow House, Staines – Angel Court, London**Permanent/fixed term contract:**Permanent **About the Role****We Make Health … transforming the way we deliver healthcare and insurance through the power of Artificial Intelligence. We're looking for a **Senior AI/ML Engineer** to join our growing Applied AI team and play a pivotal role in developing, scaling and operationalising AI solutions that create real business value.This ...

Title:**Senior AI/ML Engineer**Job Grade:**C15**Salary:** £48,200.00 DOE and location + Fantastic benefits **Location status:**Hybrid (flexible working options available) 3 days WFH **Location:**Bupa Place, Salford – Willow House, Staines – Angel Court, London**Permanent/fixed term contract:**Permanent **About the Role****We Make Health … transforming the way we deliver healthcare and insurance through the power of Artificial Intelligence. We're looking for a **Senior AI/ML Engineer** to join our growing Applied AI team and play a pivotal role in developing, scaling and operationalising AI solutions that create real business value.This ...

Description Job Title: Senior AI/ML Engineer Job Grade: C15 Salary: £48,200.00 DOE and location + Fantastic benefits Location status: Hybrid (flexible working options available) 3 days WFH Location: Bupa Place, Salford – Willow House, Staines – Angel Court, London Permanent/fixed term contract: Permanent About The Role … transforming the way we deliver healthcare and insurance through the power of Artificial Intelligence. We're looking for a Senior AI/ML Engineer to join our growing Applied AI team and play a pivotal role in developing, scaling and operationalising AI solutions that create real business value. This ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. Job responsibilities Owns … delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality ...

part of something bigger. As a Senior Data Scientist within Kainos’ Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products – including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

Posted Todayjob requisition id: R0121775# 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 … 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 ...

part of something bigger.As a Senior Data Scientist within Kainos’ Workday Products division, you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products – including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. … will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically 4-5 years ...

Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles … Points For Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early‐career data talent. Why Join Capco Deliver innovative, high‐impact data solutions for Tier 1 financial institutions. ...

with emerging trends and tooling and sharing updates within and outside of the team.You’ll also be responsible for:Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithmsImplementing ethically sound models end-to-end and applying software engineering … developing Gen AI, Agentic AI tools for chat bots in addition to understanding workflows and evaluation methods to measure and monitor performance at scaleManaging ML, AI models in production with experience of CI/CD, DevOps, and model monitoring with strong risk management and governance awarenessExperience with cloud technology such ...

Engineer to help turn pricing models and data science work into reliable production workflows. You’ll work with Pricing, Data Science, Data Engineering and ML Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands‐on, with a focus on Python … testing and documentation. Make sure pipelines and model workflows are traceable, auditable and safe to change. Work closely with Pricing, Data Science, Data Engineering, ML Engineering and governance stakeholders. Technology and Ways of Working You’ll work in a modern data and machine learning environment. The role ...

years of industry experience across the globe. Sprytech has started an India office based in Mumbai and is working to establish an AI/ML driven cybersecurity and digital threat analytics centre to enhance the security of industry and government organisations. We are looking for an AI Application Developer … Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with end-to-end AI project deployment is highly desirable. Technical Skills Proficiency in programming languages such as Python ...