3,901 to 3,925 of 5,202 Machine Learning Jobs in the UK

only the engineers could code. We expect you to be able to stand up AI generated prototypes rapidly and iterate on them. AI/ML Product Leadership:You've led the integration of AI or analytics capabilities into a product, whether for intelligent video, predictive insights, automation, or similar. … holidays. Attractive defined contribution pension scheme.Private medical insurance.Employee stock purchase plan.Flexible working options. Life assurance.Enhanced maternity and paternity pay.Career development support and wide ranging learning opportunities.Employee health and wellbeing support EAP, wellbeing guidance etc.Carbon neutral initiatives/goals.Corporate social responsibility initiatives including support for volunteering days.Well known companies discount ...

changes such as rail reform Leading and delivering transformation programmes which deliver better passenger experience Optimising front- and back-office processes Building an AI, machine learning and analytics function to help solve complex data challenges Bringing and embedding industry best practice from experience in other sectors Creating commercial ...

enterprise buyers, and comfort getting to grips with a specialist domain Desirable: not required, but will give you a head start: Experience selling AI, ML, data, or analytics-led enterprise software, or a demonstrable ability to carry a credible AI value narrative to technical and business buyers Experience … Bank Holidays Remote hybrid working Global Flexibility — work abroad up to 1 month per year Enhanced Parental Leave Paid Volunteer Day £1,000 annual Learning and Development budget Mental Health First Aiders Programme Monthly Shared Knowledge Sessions #J-18808-Ljbffr ...

retention, cohort, or user-level analytics.Familiarity with event-based data, user identity, cross-device behavior, or high-volume analytical queries.Experience developing predictive, recommendation, or machine-learning-assisted product experiences.Why you should join ContentsquareWe invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe're building a larger, dedicated Platform team at Lendable to reinvest in infrastructure ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're building a larger, dedicated Platform team at Lendable ...

assay or workflow design. Published work on automated, flow, or high-throughput chemistry, or on closed-loop generative chemistry workflows. Background near AI/ML, computational chemistry, or scientific computing. Experience working at the boundary between chemistry and other scientific disciplines (biology, screening, ADMET). Why this is unusual Most … founding team. If and when the chemistry vertical greenlights and bench work begins, the cadence shifts to lab-based. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting ...

Data, and Greenhouse Labs to deliver MVPs and proofs of concept with operational impact.People Leadership & Capability Building:· Build business capacity through mentoring, coaching, and learning sessions.· Act as a people lead, in line with grade expectations.· Build client capability for sustainable handover and managed services transition.Thought Leadership & Market Presence … processes (QRM, CC, TOP, procurement frameworks).· Qualifications such as MSP, Prince2, APM, PMP, MBA or equivalent.· Experience designing/delivering AI/ML solutions in regulated public sector contexts.· Politically and emotionally intelligent: able to work with senior public servants, philanthropists, and private sector leaders; adept at managing competing ...

equivalent frameworks).Digital Acumen: A keen interest in digital technologies, their societal impact, and the drivers for regulatory transformation (e.g., online harms, AI/Machine Learning). Understanding of how digital tools and technologies can be leveraged to enhance compliance frameworks.Regulatory knowledge: Working knowledge of one or more ...

Global’s Charlottesville, Virginia team seeks a Senior Data Scientist to lead end-to-end ML/GenAI product development, from ideation to production. You will design, develop, and deploy scalable AI solutions that address high-impact business problems while collaborating with business leaders and a global technical team. … will apply deep ML/AI expertise across NLP, optimization, and data engineering, delivering production-ready pipelines and communicating results to executives. #J-18808-Ljbffr ...

Machine Learning Engineer/Computer Vision Engineer We are working with an innovative UK technology business developing AI powered software solutions that combine multiple data sources to deliver intelligent situational awareness and real time insights. Their technology. As a growing organisation, they are offering the opportunity to work … general Machine Learning or LLMs Experience in developing and deploying production ready machine learning models Strong understanding of the full ML lifecycles, from model deployments through to deployment Experience working with large scale image datasets Knowledge of object detection, tracking, classification or similar computer vision techniques ...

immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help … have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade‐offs with cross‐functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making ...

world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time … relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world ...

more autonomous and efficient. Their platform goes beyond monitoring, it actively optimises and adapts infrastructure in real time, helping large organisations run complex ML workloads without constant human intervention. This isn’t a maintenance role, it’s deeply R&D focused. You’ll take ownership of greenfield problems around scaling … working at the intersection of machine learning and high performance systems, using a modern stack built around Python and leading ML frameworks, alongside high-throughput data systems and cloud-native tooling. The platform runs across multiple cloud providers and is heavily integrated with Kubernetes. They’re looking ...

expectations, integrity, innovation and a willingness to challenge consensus.The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures and other state-of-the-art frameworks — and the ability to turn that knowledge into high … impact, production-ready solutions.The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with ...

products, translating fast-moving strategy into clear, prioritised plans Take full end to end ownership of specific product areas Work hands-on with AI, ML and data engineers to ship products from concept to production Own the backlog, write clear specifications and drive delivery cadence Define and track success metrics … engineering, data, commercial and leadership Who You Are: 5+ years in product management, including senior ownership of a product area, ideally across data, analytics, ML or AI A ruthless prioritiser who measures success by business outcomes like revenue, cost and adoption Commercially minded, able to take a technical capability ...

telecoms industry, is looking to hire a Senior Backend Engineer to join their growing team. The role will involve working closely with ML and AI engineers on integrating Voice AI solutions and ML pipelines with their backend core. Tech stack you will be working with: Go, Python, Postgres, Redis, NATS ...

high-impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions … world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfillment (CFCs). We need a leader who can take us from "great research" to "production-scale impact," energising the team ...

JPMorganChase is seeking a Lead Software Engineer within the AI & ML Data Platforms team to drive complex engineering challenges across a scalable, secure stack. Lead an agile team, shape product design, and deliver trusted technology that powers a global financial institution. You will influence architecture, mentor engineers, and apply responsible ...

Jobtailor is seeking a seasoned ML/NLP specialist to lead AI initiatives for IP tasks. You will design and deploy NLP, LLM, and generative AI solutions, optimize retrieval, and translate experiments into product impact. You will collaborate with product, IP experts, and engineers to define agentic workflows, conduct rigorous ...

JPMorgan Chase & Co. in Glasgow, UK, seeks a Senior Lead Software Engineer to drive complex engineering challenges in AI/ML data platforms. You will lead agile teams, deliver trusted technology products, and shape engineering practices across the SDLC. The role emphasizes deep technical expertise in Java, React, TypeScript ...

develop AI-native capabilities and advanced forecasting models, with a focus on cross-domain AI systems and knowledge-graph analytics. You will build scalable ML models, encode domain knowledge, and collaborate with product, data and engineering teams to deploy AI solutions in a hybrid work environment across Edinburgh or London ...

business workflows. The role requires 5+ years in cloud AI, strong Python/C#/Java skills, and deep knowledge of Azure OpenAI, Azure ML, and related tools. Collaboration with analysts, data scientists, and IT teams is essential. #J-18808-Ljbffr ...

Platform Engineer to join the Business Intelligence & Data team. You will design, build, and operate a modern AWS cloud platform that supports data processing, ML, APIs, and web applications. You’ll work alongside Data Engineers, Developers, Data Scientists, and Architects to drive reliability and innovation. The role emphasizes serverless architectures ...

years of experience in software engineering, with strong proficiency in C#, Node.JS , Databases (SQL, NoSQL) and 2+ years of experience working with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and ... Tech stack Software Engineer Databases C TensorFlow NoSQL Artificial Intelligence JavaScript SQL Node.js PyTorch Compensation: Competitive Role type ...