426 to 450 of 628 Machine Learning Jobs in Berkshire

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯

Microsoft’s AI ecosystem to drive innovation What We’re Looking For: Strong experience with Azure AI and Microsoft Copilot tools Deep understanding of ML, NLP, and cloud architecture Proven leadership in delivering enterprise AI solutions Financial services experience is a plus More ❯

Lloyd’s market is seeking a Data Science Manager to lead key analytics initiatives driving underwriting insight, automation, and pricing improvements. Key Responsibilities: Lead ML projects (e.g. Risk Ranking, Digital-Follow, Pricing Analysis). Collaborate with Underwriters, Actuaries & Engineers to embed models into business tools. Manage a team of Data More ❯

4+ yrs in frontend (React or Angular or Vue) Backend chops (DBs, containers, deployments) Strong JavaScript/TypeScript & CS fundamentals Bonus: Generative AI/ML/image processing 🎁 Perks Stock options Full private medical (optical & dental too) Life assurance £3,000 annual transport allowance More ❯

Requirements: 5+ years of experience with Node.js and Express. Hands-on experience with AWS (e.g., Lambda, EC2, S3, DynamoDB). Exposure to AI/ML projects or pipelines (preferred). Startup or high-growth environment experience. Experience with Chatbox To be considered for this role you must have experience in More ❯

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

early, build real AI systems, and take ownership of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define More ❯

with SAP, Oracle, Coupa & beyond → Shape how global teams interact with AI — truly redefining workflows Your profile: ✔️ Strong Python skills ✔️ Hands-on experience shipping ML/LLM solutions ✔️ Systems-thinker with excellent stakeholder communication ✔️ Curious about multi-agent collaboration, safety, and robustness ✔️ Research background in LLMs = major bonus 🧾 Competitive salary More ❯

environments. Develop continuous integration, release, and automated testing frameworks. Design and manage secure, high-performance databases. Leverage advanced computational techniques: multithreading, vectorization, adjoint differentiation, machine learning. Partner with quants, trading, risk, and IT teams to deliver high-impact systems. Ideal Candidate Will Have: A Bachelor’s degree or higher More ❯

skills. Desirable: Knowledge of hybrid/multi-cloud environments and advanced cloud networking. Familiarity with Zero Trust security principles and cloud-based AI/ML services. Details: Salary : £90,000 per annum Location : Hybrid (2–3 days on-site) Eligibility : British Citizenship required If you are interested please email your More ❯

Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in More ❯

AI Engineer – London (Hybrid) - Up to £70,000 per annum - 3+ years in AI/ML development, Python & LLM expertise 💼 Ready to redefine the future of AI? numi is thrilled to collaborate with an early-stage startup dedicated to transforming enterprise AI. Join us and take a pivotal role in More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

the start-up tech world and are comfortable going beyond the standard 9-to-5 to get the job done. Experience delivering AI/ML products in production environments Familiarity with infosec processes and customer security compliance, desirable Why Apply? Be a key player transforming enterprise delivery in one of More ❯

you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like More ❯

AI Engineer | Consumer Tech 📍 London-based | Hybrid (2-3 days a week in office) I'm working with a global leader in lifestyle and concierge services, on a mission to become the most trusted service business in the world. They More ❯

Imagine how nice it would feel to work at a company that has the freedom to build solely AI solutions and AI agents. You could work with no restraints, have creative freedom, and be challenged to develop innovative AI solutions More ❯

collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and … strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work … by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. More ❯

and governance standards (e.g., GDPR, SOC 2). Data Science & Analytics Support Partner with data science and product teams to support the deployment of ML models and statistical analysis. Enable experimentation frameworks and predictive insights for HR-focused product features (e.g., retention prediction, engagement scoring). Collaborate with BI/… Airflow, DBT, Kafka, Spark, Python, SQL). Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable data systems. Familiarity with analytics and ML workflows, including model deployment and monitoring. Experience leading data teams in fast-paced, agile SaaS environments. Bonus: Experience working in HR tech, people analytics, or … foster a collaborative and high-performance team culture. Nice to Have Experience integrating data with customer-facing SaaS products or embedded analytics. Exposure to ML/AI platforms and pipelines (e.g., model serving, feature stores). Familiarity with data visualisation tools (e.g., Looker, Tableau, Metabase). Experience with SaaS business More ❯

proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI … a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. … through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that More ❯

proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI … a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. … through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that More ❯