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The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Stay current with the latest research in anomaly detection, machine learning, and artificial intelligence, disseminating knowledge across the team. Proven experience wit

Get notified about new Machine Learning Engineer jobs in. As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Implement the latest machine learning models and o

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towar

From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. Experience in the domain of search, personalization, recommendations and machine learning techniques. Experience del

Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Applied AI ML - Senior Associate - Machine Learning Engineer. Senior Machine Learning Engineer, Simulation.

Be experienced with every library in our stack from day one - you'll work closely with Ryan and ourengineering team. Collaborate with our engineering team to integrate evaluation insights into our development process. You are familiar with and have worked on related technical systems (evaluation pip

Experience in applying machine learning algorithms to solve real-world problems. Senior Machine Learning Engineer.

Staff Software Engineer, Data & Machine Learning. This role is ideal for engineers who enjoy building real products — not just models — and want to take machine learning systems all the way from data to production.

Senior Software Engineer, Data & Machine Learning. This role is ideal for engineers who enjoy building real products — not just models — and want to take machine learning systems all the way from data to production.

The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. Experience deploying and maintaining machine learning models in production environments.

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Woven by Toyota is collaborating with Toyota Research Institute (TRI) on a project to develop a fully end-to-end learned automated driving / ADAS stack, synergistic with TRI's robotics efforts in Diffusion Policy and

Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Machine Learning Scientists and Engineers: AI for Quantum. Youll be working across our embodied AI org team to build, integrate, test a

Senior Machine Learning Engineer. Experience in applying machine learning algorithms to solve real-world problems.

Deep expertise in the machine learning concepts behind Predictive AI (such as recommendation algorithms/systems, binary and multiclass classification, ranking and relevancy). If you are passionate about leveraging machine learning to transform the way businesses interact with their customers in a co

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.

Lead Machine Learning Engineer. Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work.

Research and implement best practices to improve the existing machine learning infrastructure. Experience scaling machine learning on data and compute grids. Machine Learning Engineer, you will need to:.

Senior Machine Learning Engineer – AI/LLM Ops.

Senior ML Infrastructure Engineer Central London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first ML Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is 4/5 days a week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives in a fast-paced, scaling environment. Whats on offer Up to £175,000 salary Significant equity package Direct line into the CTO - huge visibility and impact A chance to be the first ML Engineer in the business Join a team thats on the verge of explosive growth Senior ML Infrastructure Engineer London AI Start-up Up to £175,000 + Shares + Private Healthcare + Pension Please click "APPLY" to be considered for this role! TPBN1_UKTJ

Senior ML DevOps Engineer London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first Cloud Infrastructure Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives in a fast-paced, scaling environment. Whats on offer Up to £175,000 salary Significant equity package Direct line into the CTO - huge visibility and impact A chance to be the first Cloud Infrastructure Engineer in the business Join a team thats on the verge of explosive growth Senior ML DevOps Engineer London AI Start-up Up to £175,000 + Shares + Private Healthcare + Pension Please click "APPLY" to be considered for this role! TPBN1_UKTJ

NEW CONTRACT iOS DEVELOPER ROLE AVAILABLE - REMOTE (UK/EU-BASED) Outside IR35 9-12 Month Initial Contract | Start ASAP | Likely Extension To apply, email: THE OPPORTUNITY A new contract opportunity for a skilled iOS Developer to build and deploy AI-powered fintech mobile apps. You will work on secure, high-quality solutions while integrating machine learning features such as NLP and recommendation systems. THE ROLE Develop and deploy iOS apps (Swift / Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK / REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong expertise in iOS development (Swift / Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure / AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote TPBN1_UKTJ

Senior ML Engineer London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first ML Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is 4/5 days a week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives in a fast-paced, scaling environment. Whats on offer Up to £175,000 salary Significant equity package Direct line into the CTO - huge visibility and impact A chance to be the first ML Engineer in the business Join a team thats on the verge of explosive growth Senior ML Engineer London AI Start-up Up to £175,000 + Shares + Private Healthcare + Pension Please click "APPLY" to be considered for this role! TPBN1_UKTJ

AI Research Engineer (LLM Python) London / WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a 'Tech for Good' start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting people with specialist clinicians. As an AI Research Engineer you'll blend research, engineering and product work to build intelligent agents that leverage large language models (LLMs) and multimodal data. You'll own and pursue a research agenda aimed at improving model capabilities and agentic behaviours, identify and develop new agentic capabilities that enable proactive, personalised health recommendations and design and implement automated pipelines, datasets and benchmarks to assess and improve model performance. You'll join a collaborative team of talented engineers and AI researchers, pushing the boundaries of what is currently possible to enhance people's lives. Location / WFH: You can work from home most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running your own projects end-to-end You're collaborative with fluent English language communication skills What's in it for you: Salary to £95,000 Opportunity to join a scaling 'Tech for Good' start-up in an influential role with excellent career growth opportunities Apply now to find out more about this AI Research Engineer (LLM Python) opportunity. Ref: PR/100233/A/KS At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values. TPBN1_UKTJ

Working in an agile environment and keeping up with the ever-evolving technical landscape, the Machine Learning Engineer is a lifelong learner who thinks outside the box. As a Machine Learning Engineer, you will be part of a cross-functional team that enables AI engineering skills and capabilities a

Senior Machine Learning Engineer. You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work. Senior Machine Learning Engineer, Pricing.

As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in area

Design, develop and implement novel machine learning techniques to solve diverse tasks in game development. Our team is at the forefront of Imitation Learning and Reinforcement Learning techniques for game-playing agents, and we seek an expert in the field to join us in developing new technologies.

As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions.

An interest in gaming and exploring the intersection of machine learning and game technology is desirable. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. Design, develop and implement novel mac

Tackle complex problems at the forefront of machine learning and large-scale system design. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. We seek a highly skilled Machine Learning Engineer wi

Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Scientist - LLM's, RL, Multi-Agent. As a machine learning engineer, your main responsibility is to conduct the.

We are looking for a Staff Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world’s largest law firms.In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) age

Get notified about new Machine Learning Engineer jobs in. We’re looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!. A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly.

You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. Expertise in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch. An interest in gaming and exp

As the Staff Analytics Engineer on the Cyber Analytics team, you will design, develop, and deploy scalable data lake and data warehouse solutions, data models, and analytics frameworks to empower security users with insights, reporting, advanced analytics, machine learning, and GenAI solutions to en

As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team.

At MOTORS, we like to say that we know MOTORS!.Millions of people come to us every month to find their next car, because we keep the car search process simple.We have hundreds of thousands of used cars listed for sale by dealers nationwide, and guides, advice, tips and reviews to help buyers find th

Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. Referrals increase your chances of interviewing at Brio Digital by 2x. Sign in to set job alerts for “Machi

Lead Machine Learning Engineer – LLMs - Ramboll Tech. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. Minimum 5 years of experience in machine learning projects.

Research Engineer, Machine Learning (Horizons). Have a background in machine learning, reinforcement learning, or high-performance computing. Experience with LLMs or machine learning research prior.

We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. We build the low-level SDKs and fundamental technologies used by our game development partners to build PlayStation Games. Our team is dedicated to working on the latest G

Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Rivian may collect

Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI. Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI. Senior MLOps / Machine Learning Engineer: LLMs & Agentic AI.

The world will be unrecognisable in 5 years.These AI systems are already an integral part of our lives and will shape our future as a species.Soon, we'll conjure unlimited content: from.We’ll augment our memories with.Brain-Machine Interfaces—blurring the lines between organic and machine intell

We’re looking for a Machine Learning Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. At Flatiron, we’re advancing the use of machine learning, generative AI, and natural language processing to extract clinically

We are seeking a motivated ML Engineer / Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. Professional experience in data engineering, ML engineering, or a related field. Bachelor's degree (Master's preferred) in Computer Science, Applied Mathe

As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. Proven experience in data science, with a strong foundation in machine learning and statistical modeling. A Bachelor's degree in a relevant field such as Computer Science, S

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.