1,401 to 1,425 of 2,673 Remote/Hybrid Machine Learning Jobs

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, so each engagement … edge of what’s possible in applied AI, and bring it back to the team.What you'll bring to the teamStrong 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, not tasks ...

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, so each engagement … edge of what’s possible in applied AI, and bring it back to the team.What you'll bring to the teamStrong 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, not tasks ...

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. ...

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 … 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 ...

Workday Talent & Performance Associate Manager you will have the opportunity to:Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter talent and performance processesApply Accenture's GenAI-enabled accelerators to speed up design, testing and documentationHelp clients identify where … practicesSet yourself apart:Experience in organising and running Performance cycles using Workday in different organisationsIn addition to Workday Talent & Performance also experience in Workday Learning, Employee Experience or other Workday modulesUp to date Workday Talent & Performance certifications#LI-EUAbout AccentureAccenture is a leading global professional services company that helps ...

looking for engineers who are comfortable taking full ownership of this process across the whole stack; whether that is backend, frontend, embedded, ML or networking. Minerva Defence is one of the fastest-growing defence technology companies in Europe. We create the software, hardware and networking that make unmanned systems effective … looking for candidates who are comfortable across the full stack, including networking and lower-level work, and who are willing to jump into learning about new areas they are less familiar with if that’s what is needed to get the job done in a reliable way. Responsibilities Take ...

will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with Databricks, client executives … data estates, industrialise AI, build trusted data products and operationalise GenAI at scale. Build modern lakehouse architectures ready for AI Industrialise data engineering and ML pipelines. Build governed data products. Deliver AI solutions that improve decision-making across business workflows. This is a role for someone who can work from ...

research projects and new initiatives. Required Experience Experience in Project Management, Programme Management or Technical Project Management. Hands-on experience or strong exposure to Machine Learning, Artificial Intelligence, Recommendation Systems, Pattern Recognition or Data Mining. Bachelor's or Master's degree in Computer Science, Computer Engineering, a relevant … projects in a fast-paced environment. Preferred Experience Direct experience with Generative AI and Large Language Models (LLMs). Experience working within AI/ML research environments. Experience managing remote or distributed ...

will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with Databricks, client executives … scale. As a Senior Manager, you will help clients use Databricks to: • Build modern lakehouse architectures ready for AI • Industrialise data engineering and ML pipelines. • Build governed data products. • Deliver AI solutions that improve decision-making across business workflows. This is a role for someone who can work from boardroom ...

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 liftingRole overviewWe’re looking for a Platform Engineer to help build and operate the multi-account … OIDC-based cloud access, secret scanning and pre-merge controlsWork with the Platform Engineering and Security teams to improve the safety of our systemsKeep learning and improvingUse AI-assisted tooling for code generation, debugging and platform operationsShare knowledge through documentation, pairing and constructive code reviewsBuild the confidence to take ...

life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team … advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.Our name comes from the belief that ...

look forward to receiving your application - and potentially welcoming you to Arm.Required skills and experience:Good programming skills - preferably C++ and OOPExperience of ML frameworks such as ONNX Runtime or PyTorch/ExecuTorchA desire to help developers deploy ML workloads to constrained edge devicesA few years' relevant engineering experience'Nice … CPUsPython programming experienceIn Return:In return, the successful candidate will get to influence the next wave of developers on how best to deploy Machine Learning workloads on Arm processors. You'll have the chance to interact with a wide range of engineers from prospective Arm customers through ...