251 to 275 of 12,558 Machine Learning Jobs in the UK

KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Senior Consultant Contract type: Permanent Are you our … teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical … analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise More ❯

managers and client executives, translate them into analytical road-maps Deliver end-to-end analytical work-streams : data scoping, modelling, insight generation, presentation Build, test and document production ready ML models -from gradient boosted trees to GenAI and timeseries forecasting-packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users … can explore results intuitively Turn insights into actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to our internal AI/ML toolkit Support business-development by shaping analytics in proposals and thought-leadership Tech you'll use (and learn) Python SQL scikitlearn XGBoost TensorFlow/PyTorch LangChain Airflow dbt AWS/… or above) or Master's in a quantitative field (Data Science, Computer Science, Engineering, Mathematics, Physics, Economics etc.) 0-2 yrs experience applying Python/SQL & core ML to real-world data sets Confidence explaining technical concepts to senior business audiences Intellectual curiosity, humility and a drive to take ownership (Cloud, dev-ops or consulting exposure are welcome but not More ❯

managers and client executives, translate them into analytical road-maps Deliver end-to-end analytical work-streams: data scoping, modelling, insight generation, presentation Build, test and document production ready ML models—from gradient boosted trees to GenAI and timeseries forecasting—packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users … can explore results intuitively Turn insights into actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to our internal AI/ML toolkit Support business-development by shaping analytics in proposals and thought-leadership Tech you’ll use (and learn) Python SQL scikitlearn XGBoost TensorFlow/PyTorch LangChain Airflow dbt AWS/… or above) or Master’s in a quantitative field (Data Science, Computer Science, Engineering, Mathematics, Physics, Economics etc.) 0–2 yrs experience applying Python/SQL & core ML to real-world data sets Confidence explaining technical concepts to senior business audiences Intellectual curiosity, humility and a drive to take ownership (Cloud, dev-ops or consulting exposure are welcome but not More ❯

our GTM strategy, and this would be our first hire in the region. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles. What will you do? As a Senior Data Engineer , you are expected to deliver (across industries) on some of our most complex projects - individually … offer? Opportunity to impact our growth as the first UK hire, with regional expansion leadership. Benefits include: Remote work with a one-month onboarding in Budapest and quarterly visits; Learning opportunities with Databricks courses, certifications, and internal resources; Flexible PTO ; Paternity leave ; Employee Assistance Program ; Pension and private health insurance via Remote.com; High-quality equipment and a sign-up More ❯

in developing and implementing AI and Data cloud solutions. Experience working with Azure AI services (or AWS, GCP) and AI model deployment. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Understanding of the AI application lifecycle, including application prototyping, productionising and monitoring. Python/Go/R. Problem solving skills. … potential of AI. Competitive benefits : We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development. Career progression : We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability More ❯

on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We Offer A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Regular and frequent promotion and progression opportunities to ensure you can drive and develop your … continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big More ❯

proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic … people. All UK employees are eligible to request flexible working arrangements. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft More ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic … people. All UK employees are eligible to request flexible working arrangements. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft More ❯

proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development – Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic … people. All UK employees are eligible to request flexible working arrangements. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Experience using R and NLP … or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. More ❯

improve platform performance and customer experience Team Management & Mentorship: Support the direction of, mentor, and grow a high-performing python team, fostering an environment of collaboration, innovation, and continuous learning Provide regular feedback to team members, encouraging professional growth and skill development Develop training programs, pairing and coaching to improve team expertise in the latest python frameworks and technologies … United Kingdom 1 month ago London, England, United Kingdom 2 months ago Greater London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago Engineering Lead - Machine Learning Platform London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks ago Richmond Upon Thames, England, United Kingdom 2 weeks ago London, England, United More ❯

in one or more Javascript frameworks, React, Angular, etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable More ❯

the team. Why Join? Collaborate with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible remote-first setup with periodic More ❯

and implement Graph Neural Network (GNN) architectures for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, JAX, or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations, A/B … testing, and hyperparameter tuning for optimal performance. Build reusable pipelines and tools for ML training, deployment, and monitoring on GCP. Engage directly with customer technical teams to understand business needs and translate them into ML solutions. Produce technical documentation and presentations for internal and customer-facing stakeholders. Required Qualifications: Bachelors degree in computer science, Mathematics or a related technical field … pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam More ❯

creating solutions that have cloud, web, and mobile app components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain-specific languages, native and cross-platform development, etc. Soft Skills: Excellent leadership, decision-making, and problem … skills. Preferred Qualifications: Experience in Telecoms and technology domains preferred. Experience in developing private-cloud based software products and platforms. Experience in leading-edge technologies such as AI/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees. Proven experience in Agile, Prince More ❯

engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of More ❯

span the entire asset lifecycle; strategy, planning, design, build, operate and disposal. Digital Intelligence has embraced a platform approach, that converges our product capabilities and opening new possibilities using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt More ❯

will be dedicated to build and support Generative AI, Machine learning and Data science solutions across the organization. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance … the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … innovation. Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals. Designs and develops scalable solutions and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements. Actively participate in maintaining SLAs for Production applications and support. Create metrics More ❯

lead, scale, and continuously mature a high-performing team delivering high quality machine learning solutions. Drive the long-term technical strategy, delivery excellence, and team development for ML engineering across the organisation. Working closely with Data Science, Product, Technical Capabilities, and wider Engineering leadership, ensure ML products and platforms are robust, secure, scalable, and aligned with strategic business … outcomes. Lead by example in embedding engineering best practices, modern ML approaches, and a culture of innovation and technical excellence. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work. … Learning Engineers across multiple career levels, enabling high performance and strong team health through mentorship, coaching, and clear performance expectations. • Shape and execute the technical strategy for ML engineering in collaboration with Data Leadership and Principal Engineers, focusing on scalable, automated, and maintainable systems. • Champion and embed ML Ops best practices - including model lifecycle management, testing and validation More ❯

strongly preferred. Experience in the use of multiple programming languages is highly desirable. Experience using Functional programming is ideal. Proven experience in developing data structures and algorithms. Experience supporting ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in data engineering and … and SRE in a data-focussed team. Experience in Trunk Based Development, XP, & implementing CI/CD as used in data teams is highly desirable. A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams. Demonstrated resilience, with experience working in ambiguous situations. Strong English, excellent influencing and communication skills More ❯

capabilities to support self-service data analytical tools Reporting and maintenance of data quality of core datasets and define improvement strategies Develop data infrastructure to support potential AI/ML use-cases Data Governance: Establishing data governance frameworks, policies, and standards Defining data ownership, stewardship, and quality management processes Implementing data management practices for data acquisition, storage, integration, and archival … on emerging AWS technologies and trends and evaluate their potential to enhance Pharmanovia's cloud infrastructure. Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation within the engineering team About you: Bachelor's or Master's degree in Computer Science, Engineering, or related field Knowledge of ITIL 4 and change management practices More ❯

AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while … with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter’s team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment … of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

experience — talk with your recruiter to learn more. Base pay range Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming … Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production environments Strong proficiency in Python Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.) Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation Familiarity with Large Vision Models is a big plus Knowledge … United Kingdom 1 day ago Machine Learning Engineer - Search and Recommendation London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 1 day ago London, England, United Kingdom 6 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks More ❯

join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior … including fine-tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation . Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack-from data preparation and model training to serving and observability-either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support … learning, evaluation metrics, data preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine More ❯