176 to 200 of 4,804 Machine Learning Jobs in the UK excluding London

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 ❯

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 ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

high-impact, technically rich initiatives that deliver real business value across our commercial, customer, supply chain, and digital functions. In this role, you will shape and deliver advanced analytics, machine learning solutions, and visual insights that influence decisions at every level of the organisation. You will also mentor and manage a team of talented data professionals, helping to More ❯

team in Belfast. You will play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data … scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay's leading role in the early wage access industry. As a staff MLOps Engineer, you … efficient and effective deployment and management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and optimize our AWS cloud infrastructure More ❯

Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible This is not an exhaustive list, and we are keen to … must be eligible for full security clearance. For more information and guidance, please visit this link . Life at Leonardo With a company-funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a ServiceNow Solution Architect & PreSales Lead you will be in … knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or asset integrations in ServiceNow. Knowledge of SAML, Active Directory, or LDAP. ServiceNow developer More ❯

find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on "data mechanics" Providing … best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end … strategy of our DevOps and Infrastructure platforms to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading DevOps and Infrastructure products that provide More ❯

Experience: Educational Background: Degree in Computer Science, Statistics, or related fields preferred, but relevant experience can suffice. Advanced certifications are a bonus. Work Experience: Proven expertise in AI/ML, especially with generative AI at scale, LLMs like GPT and BERT, AI frameworks (TensorFlow, PyTorch), cloud-native solutions, and tools such as Databricks and Snowflake. Experience managing stakeholders in complex … environments. Skills: Proficient in designing and optimizing generative AI models, prompt engineering, understanding ML algorithms, deploying in cloud environments, version control, Linux, Docker, data engineering tools, and strong communication skills. Business development experience is a plus. Why KPMG? Work with diverse, exciting clients across industries and globally. Engage in impactful, innovative projects that solve real problems. Collaborate with brilliant colleagues More ❯

selection of appropriate technologies, frameworks, and architectural patterns. Review designs, providing feedback to Product Management and Architects. Oversee the end-to-end lifecycle of AI projects including data ingestion, ML model development, deployment, and monitoring. Implement and refine MLOps processes, ensuring robust and scalable delivery of models into production. Plan, initiate, manage, and monitor technical projects from end-to-end. … B2B enterprise cloud applications hosted on AWS. Extensive experience of working with Agile processes, scrum practice and software engineering practices. Solid experience implementing MLOps processes, pipelines, and understanding key ML concepts. Experience building, scaling, and mentoring high-performance teams; adept at aligning teams towards strategic goals. Track record of project delivery on time to budget. Excellent People Management skills. Strong More ❯

locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice. As a Staff Machine Learning Engineer with a backend focus, you will play a pivotal role in shaping scalable AI and algorithmic solutions that directly address complex business challenges. You are expected … Stack: Leverage our technical stack, including Python, SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation. Experience with architecting and implementing large-scale, distributed systems that handle significant … version control systems (Git) and collaborative development workflows. R equirements: Passion for continuous learning and a keen interest in exploring and mastering new domains, especially in AI/ML and data-driven technologies. Strong analytical skills and an ability to translate complex problems into effective, scalable solutions. Excellent communication skills to effectively collaborate with cross-functional teams and articulate More ❯

the way property is transacted globally. Ideal candidates will have: 5+ years in a leadership role such as Technical Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience More ❯

with. We encourage everyone to take responsibility and to be accountable. The Role We're expanding our small and talented team and looking for a dedicated, proactive, and diligent ML Engineer to grow with us and enhance our ML and AI capabilities. This role will be a senior hire responsible for the software development and technical infrastructure needed to design … are full stack data professionals who independently manage projects across the complete spectrum, from raw data ingestion to deployment, monitoring, and optimization. While this role emphasizes data engineering and ML deployment, you will have the responsibility of managing projects with autonomy across the full data lifecycle. Responsibilities As an ML Engineer at Un:hurd music, you'll be: MLOps and … Utilize PySpark for scalable processing of large datasets, implementing best practices for distributed computing. Optimize data storage and querying within a data lake environment to enhance accessibility and performance. ML R&D : Collaborate on model prototyping and development, identifying the most relevant and efficient solutions to the core problems that artists face. This involves deep research, hands-on experimentation, and More ❯

you At Cooper Parry, we're in it together . All we ask of our people is that they play all in . You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave , stepping out of your comfort zone to tackle new challenges. Above all, be nice . A … Programming skills in relevant languages such as Python, C++, R Knowledge of AI, APIs, RPA and other emerging technologies A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms Deep understanding of principles and best practice in machine learning, with a focus on NLP especially in sequence labelling More ❯

you can make a difference. Where no two days are the same. About the job you’re considering We are seeking a highly motivated and experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end … to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions. Hybrid working: The places that you work from day to day … Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your role • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. • Perform feature engineering and selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning More ❯

Social network you want to login/join with: Senior Software Engineer, ML Ops, slough col-narrow-left Client: Ki Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Who are we? Look at the latest headlines and you will see something … footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest … build and deploy best in market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document and maintain API’s and More ❯

able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or … our case studies with Women in Tech. About The Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work with other engineers and data scientists to design, implement and maintain features that … make use of machine learning models under the hood. This could mean anything from creating a brand new ML-powered feature from scratch to seamlessly integrating a new model into our core banking platform. You might find yourself designing robust infrastructure and pipelines or discovering a completely new approach to a complex problem. We believe in empowering our More ❯

Job Description Job Description We have an exciting and rewarding opportunity for you to take your AI/ML career to the next level while making a significant impact on risk technology solutions. As an Applied AI/ML Software Engineer III at JPMorgan Chase within the Risk Technology team, you serve as a key contributor in researching, developing, and … data sets to improve AI model performance and risk assessment capabilities Proactively identifies opportunities for AI implementation and recommends optimal solutions for specific use cases Contributes to AI/ML communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, and respect Writes secure and high-quality code using Python and relevant … ML frameworks Designs and implements AI solutions that enhance operational efficiencies across business and technology functions Applies technical expertise to document findings and share knowledge with broader technology teams Mentors junior team members in AI/ML technologies and approaches Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience with focus on AI More ❯

AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) Join to apply for the AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) role at A-SAFE GROUP About A-SAFE And The Role As the Engineer for Artificial Intelligence & Machine Learning at A-Safe, you will collaborate across multiple teams to lead AI & ML model … to ensure system compatibility and efficient handling of workloads, as well as with Software Development Teams for POC experiments and deployment. You will design and implement scalable AI and ML solutions, fostering innovation and experimentation. Your work will significantly impact operational efficiency, safety, and data-driven decision-making, supporting A-SAFE’s mission to prevent workplace injuries and safeguard lives … data gathering, cleaning, augmentation, labelling, and managing vector databases for RAG workflows. Model deployment, monitoring, versioning, and continuous improvement using frameworks like MLflow and AWS SageMaker. Experience with deep learning frameworks (TensorFlow, PyTorch), AWS SageMaker, Bedrock, Lambda; familiarity with Azure AI Foundry is a plus. Knowledge of software engineering best practices (version control, CI/CD, code reviews); exposure More ❯

As the Engineer for Artificial Intelligence & Machine Learning at A-Safe, you will collaborate across multiple teams to lead AI & ML model training, validation, experimentation, and monitoring to ensure consistent, reliable performance in production environments. This is a full-stack role involving close work with Data teams to ensure system compatibility and efficient handling of AI & ML workloads … pivotal role, you will design and deliver robust, scalable AI and Machine Learning solutions, championing innovative development. Your expertise will demonstrate the transformative potential of AI/ML at A-SAFE, enhancing operational efficiency, optimizing performance, and supporting data-driven decision-making. By integrating advanced analytics into our products and services, your contributions will directly support our mission … AWS services, serverless architectures, Python, and TypeScript/Node.js. The ideal candidate will also: Meet the above experience criteria. Possess strong practical experience in deploying and managing AI/ML models at scale. Demonstrate a passion for innovation and continuous learning in AI/ML advancements. Why A-SAFE? Since 1984, A-SAFE has been a pioneer in industrial More ❯

experimentation. Proficiency in data science and machine learning workflows, including data handling, model training, and evaluation. Solid understanding of software engineering practices, particularly in the context of ML development. Hands-on experience with Python and ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Familiarity with tools like Git, Docker, and cloud platforms (e.g., AWS, GCP, Azure). … Qualifications (Preferred for Senior Roles) Expertise in advanced ML areas such as Transformers, LLMs, NER, GANs, Reinforcement Learning, or Multimodal AI. Academic or industry experience in fields like Natural Language Processing, Computer Vision, or Deep Learning. For senior candidates, must have written publications in peer-reviewed journals or conferences (e.g., NeurIPS, ICML, ACL, CVPR). Demonstrated impact in a … Learning Engineer, NLP, Computer Vision, Deep Learning, PyTorch, TensorFlow, LLMs, Transformers, GANs, Reinforcement Learning, Data Science, Python, Cambridge AI Jobs, Applied AI, Research Scientist, Artificial Intelligence, ML Research, AI Innovation More ❯

sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead the development of cloud-native microservices, event-driven systems, and ML pipelines using GCP tools. • Ensure solutions are secure, compliant, and aligned with retail industry standards and best practices. • Conduct architecture reviews, technical workshops, and hands-on engagements with customer engineering … or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow … or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers). More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The … novel architectures, training processes, and applications within the financial domain. Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest More ❯

key member of a cross-functional team, enhancing and developing state-of-the-art features for their platform. Your role will involve preparing and analysing datasets, crafting mathematical and machine learning models, and developing clear visualisations that translate intricate findings into actionable recommendations. Role Overview As a Junior Data Scientist, you'll be an integral part of a … United Kingdom 1 week ago Data Scientist (GenAI - Customer Identity) Manchester, England, United Kingdom 4 weeks ago Altrincham, England, United Kingdom 1 month ago Data Scientist - (Senior AI/ML Engineer) Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 6 hours ago Data Science and AI Delivery Lead for Commercial Domain Manchester, England, United Kingdom 2 weeks … United Kingdom 2 weeks ago Manchester, England, United Kingdom 4 days ago Data Science and AI Delivery Lead for Commercial Domain Manchester, England, United Kingdom 1 week ago AI&ML Engineer (Artificial Intelligence & Machine Learning Engineer) Manchester, England, United Kingdom 1 week ago Senior Data Scientist (Data & Insights Lead) Manchester, England, United Kingdom 1 week ago Manchester Area More ❯

Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions. Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Strong expertise … with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques. Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...) Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP). Understanding of the whole ML lifecycle and experience with MLOps/DataOps. Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...) Strong problem-solving skills and attention to detail. Good communication More ❯