1,251 to 1,275 of 3,262 Machine Learning Jobs in the UK

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing … responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with ...

Axon is seeking a highly skilled Machine Learning Scientist to join our AI team in London. You will lead research and development of LLM/MLLM and Computer Vision solutions across cloud, devices and sensors, guiding projects from concept to product. The role requires a PhD and 5+ ...

Engineer in Birmingham to lead AI projects that enhance program delivery. The role demands a strong background in software development, particularly in Python and machine learning systems. Ideal candidates should possess a Bachelor's degree or higher and 5+ years of relevant experience, alongside practical skills in large ...

analysis. Commercially minded with the ability to balance rigour and pace. Comfortable working through ambiguity and solving open-ended business problems. Interest in AI, machine learning and emerging technologies. Ability to communicate complex findings clearly to both technical and non-technical audiences. Experience with product analytics, opportunity sizing … following areas: Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification. Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products. What They Offer Significant investment in Data & AI capabilities. Opportunity to help shape a growing team expanding from ...

Leicester. You'll play a key role in maintaining robust SQL platforms while rapidly scaling up modern Azure data architectures and integrating AI/ML tools. What You'll Do: Build and optimize data pipelines using Azure Data Factory (ADF) and SSIS . Leverage Databricks and Azure Data Lake … Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications. Interested in learning more? Send me a DM or comment below to start a conversation! #DataJobs #Azure #Databricks #SQL #Python #LeicesterJobs #DataEngineering #TechHiring Randstad ...

such as CI/CD, application resiliency, and security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). In-depth knowledge of the financial services industry and IT systems. Practical cloud native experience. Required Qualifications, Capabilities, and Skills … such as CI/CD, application resiliency, and security. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). In-depth knowledge of the financial services industry and IT systems. Practical cloud native experience. #J-18808-Ljbffr ...

lead governance frameworks that ensure the highest value network and AI initiatives are identified, prioritised and implemented. Lead the integration of AI and machine learning into network planning, operations, optimisation and maintenance. Identify, assess and scale AI use cases that improve network performance, incident response, capacity planning … technology decisions. Build strong partnerships across operating companies and central teams to promote consistent standards and ways of working. Essential Experience Applying AI, machine learning or AIOps within network planning, engineering or operations in a telecommunications environment. Strong knowledge of network architecture, including 5G standalone, radio access networks ...

fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities Consult with global 1000 customers to help them understand, structure, and implement … experience. A strong network that can be leveraged for accelerated access into potential buyers within large enterprises. Experience with and understanding of AI and Machine Learning is highly favorable. Experience with generative AI tools such as Claude. Work experience in consulting, defense, intelligence, manufacturing, supply chain, healthcare ...

Title: ML Scientist (Molecular AI) Location: London (Hybrid) Salary: Up to £100,000 DOE A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery. This is a research role with real engineering … proximity. You will develop novel ML methods for molecules, proteins, and biological systems, working closely with engineers to translate new ideas into practical tools that accelerate scientific discovery. The team values strong scientific contributions and a genuine track record of research impact. What we are looking for PhD in Machine ...

imagined, in light of our learnings from our pathfinder clients, into robust capabilities that can match the growth of our business. Bridge our Machine Learning, Product and Platform Engineering capabilities We have an extremely talented pool of full-stack machine learning and MLOps engineers … home shaping a brand-new product and untangling and rebuilding existing systems. Communication is crucial, as you will work closely with colleagues across machine learning, product, and platform engineering to bring their work together into capabilities the whole team can build on. We would love to hear from ...

analytics. AI and advanced analytics Help define and deliver Caffè Nero’s data and AI roadmap. Identify and prioritise practical opportunities to use AI, machine learning and advanced analytics. Lead initiatives from proof of concept through to production, ensuring they deliver measurable value and are supported by appropriate … reviewing technical output. Strong business partnering and communication skills, with an ability to turn complex requirements into effective data solutions. Experience of AI or machine learning, modern development practices, data governance, third-party partners or retail and hospitality data would be an advantage. Being part of the Caffè ...

support population health management and analytics. This is an excellent opportunity to contribute to products that help improve healthcare outcomes through advanced analytics and machine learning. This is initially a 2-month contract , with the potential for extension or a longer-term opportunity for high-performing consultants. Key Responsibilities … PySpark (essential). Experience designing and building analytics/data pipelines. Strong SQL skills and experience working with large datasets. Experience developing and deploying machine learning models. Experience collaborating with cross-functional engineering and product teams. Highly Desirable Experience working with NHS, healthcare, or population health data. Population ...

data into actionable intelligence, helping the business identify opportunities, mitigate risks, and make informed decisions. Key responsibilities include: Developing and implementing predictive models and machine learning algorithms to support strategic and operational decision-making. Analysing large volumes of structured and unstructured data to identify trends, risks, and opportunities. … Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration, and data quality management. Experience working with large, complex structured and unstructured datasets. Knowledge ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

proposals and helping secure new business opportunities. Experience designing and delivering AI solutions within complex enterprise environments. Strong knowledge of Artificial Intelligence technologies, including Machine Learning, Generative AI, AI Agents, AWS AI and Azure AI. Experience developing AI-enhanced digital assistant solutions such as Microsoft Copilot. Practical experience … with Retrieval-Augmented Generation (RAG) architectures and Machine Learning Operations (MLOps). Strong stakeholder engagement skills, with the ability to communicate technical solutions clearly to both technical and non-technical audiences. It would be great if you had: Experience working across multi-cloud environments, including AWS, Azure ...

safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible for ensuring that ECMWF … dissemination steps are aligned and robust. It oversees workflows used to produce operational weather forecasts from medium‐range to seasonal timescales, as well as machine‐learning‐enabled forecasts, Copernicus climate reanalyses and atmospheric composition services and Destination Earth Digital Twins. It also monitors the performance of operational suites ...

Eightfold’s talent intelligence platform, and ServiceNow HRSD.Build and prototype solutions leveraging HR-specific AI platforms, taking ideas from POC to production.Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards.Establish AI performance monitoring and responsible AI frameworks … integration patterns, including REST and SOAP APIs, event-driven architecture, synchronous and asynchronous processing, and data transformation.Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems.Experience delivering AI/ML and automation solutions within HR systems.Experience with digital assistants or AI-driven ...

consultancy Collaborative, multidisciplinary teams across product, data, engineering and delivery The chance to influence product strategy and organisational decision-making Ongoing professional development and learning opportunities A supportive and inclusive culture that values innovation and expertise Flexible and hybrid working arrangements Key Responsibilities of a Lead Product Manager (Data … discovery and delivery A passion for mentoring, coaching and developing others Desirable Experience Cloud-based data platforms including AWS, Azure or Google Cloud AI, Machine Learning or advanced analytics products Consultancy, government or regulated industry experience Experience using outcome-based delivery frameworks such as OKRs Apply for This ...

parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions … where necessary training to juniors and/or new members of the team acting as the voice of experience, whilst still being open to learning from others. The SeniorEngineer exemplifies our company values and is a consistent high performer delivering value on the most complex areas on a daily ...

research cutting-edge market research projects using powerful analytic tools Work on projects that range from macroeconomic data curation and analysis to applying machine learning techniques to market tick data for automated trading Take immediate responsibility through assignments such as position tracking, risk calculation, and analysis of vital … ideas clearly and concisely to the group What to expect during the internship Meaningful projects: Each project, advised by a trader, provides a comprehensive learning experience and real‐world work experience. Community: Throughout the internship, a variety of educational, social, and team‐building activities foster friendships and camaraderie. Housing ...

opportunity for a Senior Data Scientist to join the team. This role forms part of the function that underpins Ocado Logistics’ data science and machine learning focus, providing technical excellence and being a key contributor to your team and domain’s delivery. In this role, you will … solutions in line with your team’s standards About you Extensive experience of working with both SQL and Python Experience of developing and deploying machine learning models Strong stakeholder and business partner management. Have used data to make recommendations and influence Have worked in a high volume, fast ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation). Design and develop production‐grade software that … about translating complex genomic data into impactful solutions that advance translational research and precision medicine. You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

model training. This isn’t traditional DevOps. It isn’t conventional MLOps. It’s a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you’ll do Design and own our large‐scale AI training infrastructure. Scale distributed model training … architecture, culture and technical direction of the company from day one. What we’re looking for Large‐scale distributed training. PyTorch and modern deep‐learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High‐performance computing and distributed systems. Training optimisation, memory management ...