1,376 to 1,400 of 2,614 Remote Machine Learning Jobs

advantage. And it's fun. Who we're looking for PostHog is working on a self-driving product and is training its own Deep ML models. To do this, we have a new AI Research team. We track more products across more dimensions than any other company on Earth. Because ...

They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models.As a Full Stack Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users ...

fieldDeep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, OracleExperience with cloud platforms: AWS, Azure, and GCPHands-on experience with AI/ML platforms and agentic automation frameworksExperience in a high-growth startup or scale-up environmentEstablished personal brand and thought leadership presence in the integration/automation ...

discussions and solution design sessions. Ability to influence architectural decisions and drive alignment across multiple stakeholder groups. Emerging Technologies Understanding of AWS AI/ML and Generative AI services, including Amazon Bedrock and SageMaker. Knowledge of modern data platforms, analytics solutions and cloud-native architectures. Interest in emerging technologies ...

with a track record of shipping reliable, performant systems at scale Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents A builder's mentality ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster … your findings. A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it. Desirable Practical experience applying and evaluating machine learning models. Experience working with safety-critical systems. Experience in the automotive, robotics, or AI industries. A track record of promoting statistical rigour ...

where it matters for privacy, latency, reliability, cost, or product differentiation.You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast … inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks.Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows.Build observability for GPU utilization, memory pressure, queue ...

consultancy in the UK seeks a Machine Learning Engineer to develop impactful AI solutions for clients. The role involves building production-grade ML software, collaborating with cross-functional teams, and operationalising models using tools like TensorFlow and PyTorch. The ideal candidate will have strong Python skills and experience ...

Machine Learning to lead a small Data Science team and shape AI adoption across the company’s SaaS products. You will drive ML/AI initiatives from development through to production, collaborating with clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with ...

ideally within financial services or management consulting. Strong understanding of market abuse regulation and trade surveillance frameworks. Awareness or practical experience of AI and machine learning applications within risk or surveillance environments, including model tuning concepts and responsible AI practices. Experience documenting end-to-end processes, identifying risk … Join Capco Deliver high-impact transformation programmes for Tier 1 financial institutions. Work in a collaborative, flat, and entrepreneurial consulting culture. Access continuous learning, industry certifications, and structured career development. Help shape the future of enterprise risk, market surveillance, and operational resilience. Be part of a team delivering meaningful ...

best practices to support the end-to-end machine learning lifecycle. Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities. Ensure robust security, compliance, and governance controls across the platform, including access management, data protection ...

Viridien is seeking a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent systems for real-world data. You will work across single and multi-agent workflows, integrating LLMs, vision-language models, retrieval systems and domain-specific tools. Qualifications include a degree ...

operations and drive our vision forward About the Role We're looking for a Data Scientist to build the Murphy’s brain — the ML that decides who we contact, when, how and how often, to recover the most debt inside hard legal limits. Recovery is a data problem before … hire a lifer who can’t ship — you’ll pick up the domain, the data and the regulation cold, fast. Requirements 2+ years shipping ML that ran in production and moved business metrics. M odels that pick the best next action and measure whether it actually changed the outcome; ranking ...

microservices JavaScript, TypeScript, HTML5 and CSS3 Experience working within Agile/Scrum teams Desirable Skills Azure Blazor Entity Framework/EF Core AI or Machine Learning integrations Docker and containerisation CI/CD pipelines and DevOps Git version control Benefits Fully remote working £40,000 - £50,000 salary … days holiday + bank holidays Company pension Ongoing learning and professional development Opportunity to influence technical decisions and architecture Supportive, collaborative engineering culture If you're looking for a role where you can work with modern Microsoft technologies, contribute to meaningful projects and have genuine influence over technical direction ...

RedTech Recruitment Ltd. in Cambridge seeks a senior Machine Learning Research Engineer to explore novel NLP/LLM approaches, prototype concepts and push state-of-the-art in a fast-moving software environment. The successful candidate will hold a PhD related to NLP, work on cutting-edge research ...

NIST/ANSI Standards Experience within: Government Public Safety Defence Border Security Transport Familiarity with: GDS Service Standards Technology Code of Practice AI & Machine Learning applications Why Join Us? You’ll work on nationally significant programmes that impact millions of people, helping government organisations modernise how they verify … Annual bonus Hybrid working model- 3 days per week in London or Manchester Up to 4 weeks working abroad per year Access to leading learning platforms and professional development programmes Support for continuous learning, certifications and career progression Exposure to cutting-edge AI, digital transformation and innovation projects ...

Deliveroo in London is seeking a Senior Machine Learning Engineer to shape decision-making systems that affect … customer experience, trust, and fairness. This role sits in a hybrid London office, typically 3 days in the office. You will own the full ML lifecycle from design to production, deploying models and building robust, scalable systems in collaboration with product managers. Strong focus on reliability, observability, and GenAI-enabled ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

validate what you're building. You'll be part of a small cross-functional team (a Tech Lead plus four to six Software and Machine Learning Engineers), and you'll regularly run projects in parallel: contributing to ongoing experiments while also exploring entirely new directions. The tech stack … deliberately varied, the right tool for the job, not a fixed list, spanning C#, TypeScript, Python, and more across desktop, web, API, database, and ML development. What makes this role different: You'll work on problems where there is no established answer and you'll have the autonomy to explore ...

have: 2+ years of working building AI powered products and 5+ years in software engineering. Experience building products using LLMs, embeddings and other ML technologies. Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies. Experience leading cross functional teams in an innovative … fast moving environment. A strong foundational understanding of machine learning models and practice, including model evaluation and performance. Strong full‐stack development skills. Must be willing to work from an office 4 days per week (except for remote roles). #J-18808-Ljbffr ...

learning capabilities in games. The ideal candidate will have extensive experience in C++ software optimization for gaming consoles. Responsibilities include designing efficient ML solutions, collaborating with engineers, and keeping up with advancements in AI technologies. Join a creative team at the forefront of game engine innovation, where ...

Head of Machine Learning to define and lead the strategy within its Core Experience product area. The position involves managing multiple ML teams and driving impactful projects related to search, payments, and conversational AI. Candidates should have significant ML leadership experience, budget management skills, and a strong ability ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … integrating components across complex software systems.Experience working with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise.Experience integrating machine-learning inference into production systems.Experience with performance profiling, observability or debugging distributed systems.Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads.This ...

core requirement for how fast we can build. As our Technical Recruiter for EMEA, you'll own full-cycle hiring for engineering, data, ML, and product roles in those regions - from first conversation with a hiring manager to signed offer. This is a build-it role, not a maintain … candidates experience us. What you'll be doing: Manage the full-cycle recruitment process for Technical roles, including Software Engineering, Data Science, Machine Learning and Product across EMEA. Partner with hiring managers to define job requirements, create job descriptions, and develop a clear hiring strategy for each role. ...