1 to 25 of 27 Machine Learning Jobs in Stevenage

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 … 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 More ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating across … cloud environments. With over a decade of experience and recent strategic acquisitions, they are evolving into a product-led platform business - leveraging AI/ML insights, structured cost data, and seamless integrations to drive cloud ROI. A proud member of the FinOps Foundation, the company is at the forefront of … talent to unlock the next phase of intelligent automation and cost intelligence. The Role: As one of the first UK/Northern Ireland ML engineering hires, this is a rare opportunity to shape both the technical foundation and future team culture. You'll be a core member of a More ❯

content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and … particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural … networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for More ❯

having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled … secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft More ❯

of their growth. This is a great opportunity to join a forward-thinking company working with modern technologies - including the latest in AI and machine learning - in a fast-moving industry. What's in it for you? Competitive Salary Employer pension contributions Employee Benefits Program (after probation) Hybrid … development Experience with front-end technologies such as JavaScript, Angular, or React Knowledge of microservices architecture & API development A genuine interest in AI and machine learning technologies Strong problem-solving and debugging skills Bonus Skills (Desirable, but not essential) Experience with Azure DevOps & CI/CD pipelines Strong More ❯

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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data and … products (platform, application, pipelines) to meet the customer needs. You will partner closely with the leaders of Onyx's customer organizations, including AI/ML, Data Science, Target Discovery, Omics Technology, and various R&D teams utilizing data to accelerate drug discovery, along with the Onyx portfolio management and engineering More ❯

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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data and … products (platform, application, pipelines) to meet the customer needs. You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, Data Science, Target Discovery, Omics Technology, and various R&D teams utilizing data to accelerate drug discovery, along with the Onyx portfolio management and engineering More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

achieve product/technology goals and KPIs. Actively contribute to critical projects by developing key modules, core frameworks and automation tools. Leverage AI/ML technologies in bringing productivity across the SDLC phases and develop innovative business solutions and products. Establish engineering best practices for application development, testing, deployment and More ❯

C++/Java/Python/R. Use of code configuration management toolsets. Knowledge of one or more of the following: Artificial Intelligence and Machine Learning methodologies and tools. Simulation tools and methods relevant to supply chain modelling. Real time data collection and processing techniques relevant to supply More ❯

accelerate the impact of our new world class structural biology facilities. This role provides opportunities to integrate advances in prediction, modelling and AI/ML by collaborating with departments at GSK, enhancing the speed and success of drug discovery. The initial focus will be on CryoEM data processing with the More ❯

CircleCI or similar. Strong communication and mentorship skills you lead, guide, and elevate those around you. Bonus if youve dabbled in Go, GraphQL, or machine learning integrations. Whats on Offer £80,000 £100,000 base salary Fully remote working (UK-based) with flexible hours 36 days total annual More ❯

including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

significant autonomy, allowing you to shape your own path and make impactful decisions with direct access to a senior leadership team who value continuous learning and will provide the freedom to explore new ideas and grow your skills. About the person: The successful candidate must have, and your application … data visualisation* Demonstrable experience in data analytics* Knowledge of systems integration including the use of automation tools such as the Power Platform* Understanding of Machine Learning and AI technologies. * * = May be demonstrated through the completion of a module, student project or placement. Applicants should indicate how their experience More ❯

software delivery. Key Points The product is built today with PHP (Laravel) and Vue.js on the front end, with Python used for AI and Machine Learning components. High-Autonomy, low bureaucracy engineering culture Share Options available Salary Up to £70,000 depending on experience. To speak in absolute More ❯

Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in More ❯

as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module, student project or placement. More ❯

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 … 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 More ❯

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, metadata- and automation-driven 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, as one unified asset, to unlock the value of our unique collection of data More ❯

cost savings. Champion cloud-native solutions, such as serverless computing, containerization, and microservices. Cultivate a learning environment around emerging technologies like AI/ML, IoT, and edge computing within the cloud landscape. Cloud Automation & Tools Advocate for automation, DevOps practices, and Infrastructure as Code (IaC) to streamline cloud operations. … professionals, including architects, security experts, and engineers. Mentor and guide teams on cloud best practices, tools, and platforms. Foster an environment of accountability, continuous learning, and innovation. Vendor & Stakeholder Collaboration Work with external cloud providers (AWS, Azure, GCP) and other partners to maximize business value from cloud investments. Communicate … Expert, Google Cloud Architect). Experience in cloud-native design, serverless computing, and container orchestration (Docker, Kubernetes). Familiarity with data lakes, AI/ML infrastructure, and analytics in cloud environments. Knowledge of cloud security and compliance standards (e.g., ISO, SOC, GDPR) and cost management practices. For more information, please More ❯

We are a full-stack team comprising product and portfolio leadership, data engineering, infrastructure, DevOps, data/metadata/knowledge platforms, and AI/ML analysis platforms, focusing on: Creating a next-generation, automation-driven data experience for GSK’s scientists and decision-makers to increase productivity. Providing advanced AI …/ML and data analysis environments to accelerate predictive capabilities and attract top talent. Engineering data at scale to unlock its value in real-time. Onyx Product Management ensures that infrastructure, platforms, and data assets are optimized for R&D impact. The team collaborates with stakeholders to develop a strategic … and training. Establish key performance metrics and evaluate product success. Act as an ambassador for Target Discovery and Onyx products. Stay updated on AI, ML, and compute platform trends to foster innovation. Manage and mentor a team of product managers. Qualifications: Basic: Bachelor’s in Data Science, Bioinformatics, or related More ❯

the business has made a deliberate shift from bespoke cloud tooling to a productized cloud ROI platform - driven by structured cost data, AI/ML insights, and seamless integrations. Our client is a proud member of the FinOps Foundation and a key player in emerging BillOps trends. They're building … cost intelligence platforms * Familiarity with Snowflake, Airflow, DBT, or other data platform technologies * Background in data-centric product development or FinOps tooling * Exposure to ML-powered querying, analytics, or optimization * Experience in scaling microservices across hybrid/multi-cloud environments Why Join: * Be one of the first strategic hire in More ❯

assessments for AI deployments, ensuring compliance with governance policies. Essential Skills & Experience AI Development & Deployment: Strong hands-on experience developing and deploying AI/ML models. RAG Expertise: Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP: Experience working with LLMs (OpenAI, Anthropic … Python, C#, or other relevant languages for AI development. API & Integration Experience: Experience with REST APIs, GraphQL, and microservices architectures. Good knowledge of common ML algorithms. Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows Working knowledge of nVidia tech stack. Desirable Skills Experience in More ❯

Strong stakeholder management skills, the ability to engage with diverse teams, and experience in Agile delivery processes will be vital. Experience in AI/ML implementation within an Azure environment would be a great advantage. Wed love to get to know you Is Imposter syndrome creeping in? Dont worry wed … knowledge of the Azure analytics ecosystem and core Azure data technologies. Strong programming skills in C#, SQL, PowerShell, and Python. Experience in AI/ML implementation within an Azure environment. Demonstrable expertise in data strategy development and embedding best practices. Strong stakeholder management skills and experience in Agile delivery processes. More ❯