model development and production deployment will be key to delivering robust, high-impact machinelearning solutions. You'll be expected to understand and implement methodologies from the ML Ops lifecycle.You'll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly to changing requirements. Key Responsibilities Develop and … maintain infrastructure for deploying ML models in both real-time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user-facing applications. Work with platform engineers to align with infrastructure best practices and ensure scalable deployments. Review pull requests and contribute to code quality … across the MLE team. Monitor and maintain cloud-based ML services, ensuring reliability and performance. Design and implement CI/CD pipelines for ML model deployment. Write unit tests and follow object-oriented programming principles to ensure maintainable code. Support data modelling and cloud networking tasks as needed. Contribute to the development and improvement to our model registry, including tracking More ❯
commercial goals by harnessing artificial intelligence and machinelearning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, MachineLearning Centre of Excellence, you will have the opportunity to apply sophisticated machinelearning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into … production. If you have a strong passion for machinelearning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. Job Responsibilities Research More ❯
Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machinelearning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a MachineLearning Engineer … to join our team and lead the charge in applying cutting-edge machinelearning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machinelearning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our More ❯
listen in their homes (and beyond), the Product Data team uses data to guide and influence the product direction and improve the customer experience. Sonos is looking for a MachineLearning Engineer to join the Product Data team and contribute to building innovative, data-driven solutions that enhance customer experiences and product intelligence. You will work alongside engineers … and analysts to develop machinelearning models that power experimentation, personalization, and proactive customer insights. This is an excellent opportunity for someone early in their machinelearning career to gain hands-on experience developing and deploying real-world solutions for a global consumer technology brand. What You'll Do Collaborate with other machinelearning engineers on the development and deployment of machinelearning models across product and customer intelligence initiatives. Work with Data Analysts to understand data patterns, user behaviors, and analytical insights that inform model development. Partner with Data Engineers to gain hands-on experience in designing and maintaining scalable machinelearning pipelines and data workflows. Collaborate cross More ❯
oxford district, south east england, united kingdom
Recursion
to support high-throughput inference and real-time model serving capabilities Architect infrastructure for agentic systems, including multi-agent coordination, workflow orchestration, and autonomous decision-making pipelines Partner with ML teams actively developing models to onboard them to platform capabilities Continuously optimize the platform to support our emerging machinelearning research capabilities and evolving use case needs Build … and maintain orchestration frameworks for complex ML workflows, including agent-based systems and multi-modal model pipelines Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view Create tools and experiences that support the development of models -- however you won't be responsible for building machinelearning models The Team You'll Join The ML Infra team vision is to build and maintain a centralized platform composed of best-in-class tooling for machinelearning, including intelligent agentic orchestration and LLM-powered capabilities. We strive to make machinelearning easy and accessible across the organization by offering low barrier-to-entry solutions More ❯
london, south east england, united kingdom Hybrid/Remote Options
JPMorganChase
Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The MachineLearning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy MachineLearning Solutions for our most challenging business problems. This includes ensuring the quality … to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machinelearning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Summer Associate within the MLCOE, you will apply sophisticated machine … and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model. Job responsibilities Research and explore new machinelearning methods More ❯
MachineLearning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯
Greater London, England, United Kingdom Hybrid/Remote Options
Aeris-UK
is not available for this role. Job Description Aeris-UK is an applied AI company working on real-world problems that require creativity, rigour and solid engineering. We build machinelearning systems that are efficient, understandable and ready to operate in the complexity of real environments, whether that involves supporting infrastructure resilience, enabling autonomous decision-making or developing … often work in partnership with researchers, government teams and other specialists, so communication and openness are important in everything we do. We are seeking a highly skilled and motivated ML Research Engineer to join our dynamic team for 3-4 months to work on specific projects. In this role, you will be responsible for building and optimizing complex simulation environments … simulation environments to enhance realism and accuracy. Applying your strong software skills, including proficiency in Python and ideally another programming language. Applying DevOps processes to ensure seamless integration of ML training pipeline. Who We're Looking For Someone with many of the following: Bachelor’s or higher degree in Computer Science, MachineLearning or any related field. Proven More ❯
Informatics (REF 2021). Why study AI and MachineLearning at UCL Computer Science UCL is a powerhouse in Artificial Intelligence (AI) and MachineLearning (ML), renowned for shaping some of the field's most important advances and training graduates who go on to lead in the global tech industry. Our interdisciplinary programmes blend theory with … Our programmes Artificial Intelligence for Biomedicine and Healthcare MSc - This one-year, interdisciplinary MSc will equip you with advanced AI skills to revolutionise biomedicine and healthcare. Combining foundations of ML and AI with biomedicine and healthcare, you'll learn how to harness AI to craft innovative solutions. Artificial Intelligence for Sustainable Development MSc - This specialist MSc programme combines the technical … excel in an increasingly data driven world. In collaboration with renowned centres like the Gatsby Computational Neuroscience Unit and Google DeepMind, this programme uniquely blends statistical rigour with advanced ML techniques. Data Science and MachineLearning MSc - Become a changemaker in the world of data science and machinelearning through one of the most established Master More ❯
Career Opportunities: AI and Machine LearningEngineer - (10783) Requisition … ID 10783 -Posted - Years of Experience (1) - Technology - Where (1) - Job DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/MachineLearning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. Role overview: As a AI & MachineLearning Engineer, you'll … instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and More ❯
ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machinelearning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machinelearning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machinelearning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machinelearning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machinelearning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machinelearningMore ❯
ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machinelearning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machinelearning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machinelearning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machinelearning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machinelearning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machinelearningMore ❯
ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machinelearning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machinelearning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machinelearning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machinelearning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machinelearning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machinelearningMore ❯
ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machinelearning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machinelearning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machinelearning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machinelearning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machinelearning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machinelearningMore ❯
Bristol, Gloucestershire, United Kingdom Hybrid/Remote Options
Leonardo UK Ltd
where you'll be shaping the future of secure data systems and AI capabilities in some of the most critical areas of the UK's national infrastructure. As a MachineLearning Engineer, you'll be part of a forward-thinking team solving complex, real-world challenges through advanced analytics, automation, and intelligent systems. This is your chance to … IT with bespoke Operational Technology, all in a fast-paced, collaborative environment. We're looking for curious, creative minds-people who are not only technically skilled in Python and machinelearning but also eager to explore, learn, and build secure, scalable AI solutions. Responsibilities Building, integrating, testing and scaling models including NLP and Computer Vision. Take ownership of … developing, training and productionising machinelearning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your More ❯
a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This applied science role will contribute to developing and implementing ML solutions for personalised recommendations, learning to rank, and relevance optimisation. The ideal candidate will possess strong technical skills and commercial awareness to drive value for PLS and our partners. … In this role, you will: Own the design and implementation of end-to-end ML solutions for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments Collaborate with senior team members and cross-functional teams to align ML solution design with business strategy and partner needs Be an integral part of a … team of MachineLearning Scientists and MachineLearning Engineers, contributing to technical implementation, conduct analyses and present findings to both technical and business stakeholders, translating ML concepts into actionable insights Work with operations, analytics and internal product & technology teams to ensure models in production are driving expected business value and operate efficiently Stay informed about relevant More ❯
a significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This applied science role will contribute to developing and implementing ML solutions for personalised recommendations, learning to rank, and relevance optimisation. The ideal candidate will possess strong technical skills and commercial awareness to drive value for PLS and our partners. … In this role, you will: Own the design and implementation of end-to-end ML solutions for recommendations & relevance at scale that can handle high-throughput, low-latency personalized recommendations across diverse partner segments Collaborate with senior team members and cross-functional teams to align ML solution design with business strategy and partner needs Be an integral part of a … team of MachineLearning Scientists and MachineLearning Engineers, contributing to technical implementation, conduct analyses and present findings to both technical and business stakeholders, translating ML concepts into actionable insights Work with operations, analytics and internal product & technology teams to ensure models in production are driving expected business value and operate efficiently Stay informed about relevant More ❯
MachineLearning Engineer £700-750/day overall assignment rate to umbrella Fully remote … month initial A FTSE 100 retail client are on the look for a MachineLearning Engineer to join their data science function to drive cutting-edge ML technology across the business. MachineLearning Engineer, key skills: Significant experience working as a MachineLearning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter … Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machinelearning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of MachineLearning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP More ❯
Manchester, Lancashire, United Kingdom Hybrid/Remote Options
CHEP UK Ltd
less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machinelearning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment … of data science solutions, optimizing performance through advanced machinelearning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data … and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building More ❯
the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a MachineLearning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machinelearning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machinelearning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machinelearning community to influence how we implement machinelearning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯
looking for MachineLearning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machineMore ❯
looking for MachineLearning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machineMore ❯
This is a hands-on leadership role: you’ll set the AI strategy, design and scale production NLP and machinelearning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & MachineLearning will Take ownership of the company’s … AI roadmap — from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and … knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset — comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch More ❯
This is a hands-on leadership role: you’ll set the AI strategy, design and scale production NLP and machinelearning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This Head of AI & MachineLearning will Take ownership of the company’s … AI roadmap — from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and … knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset — comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch More ❯
Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in MachineLearning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machinelearning in Defence/Security, public sector, or academia Proficiency in various machinelearning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯