Trabajos machine learning en Brighton - Page 2Crear alertas

Junior Data Scientist: Machine Learning & Python Specialist with SQL🐍.

If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move. We’re working with an early-stage deep tech company developing a next-generation analytical platform at

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. As Machine Learning Engineer (NLP), you will be responsible for:. Machine Learning Engineer (NLP).

A machine learning mage: You write clean, scalable, high-performance deep learning code. Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-bef

Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years. In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many weal

AI / Machine Learning Engineering Trainer. We’re recruiting an AI / Machine Learning Engineering Trainer to join a rapidly growing AI Education team within a global Technology Education business. Deliver engaging, practical training across applied Machine Learning and modern AI engineering concept

Senior Machine Learning Engineer. Apply reinforcement learning approaches including SFT, DPO, PPO and GRPO. Strong hands on reinforcement learning experience.

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems a

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: PermanentHours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessme

Machine Learning Developer (Contract)Based - WarwickRate: £500-£600 per dayI am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick.

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90kAre you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a gro

We are seeking a Senior Machine Learning Engineer to design and deliver production‑grade ML systems for a leading digital gaming and gambling platform. Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation.

A leading retail group in the UK is looking for a Machine Learning Engineer to help operationalize advanced AI solutions. Your role involves developing robust machine learning models and ensuring their seamless deployment into production. Ideal candidates will have strong skills in Python, SQL, and

Computer Science, Machine Learning, Economics, Statistics, or equivalent professional experience, plus. Experience applying statistical and machine learning methods in at least one of:. We're seeking an experienced Machine Learning Engineer who enjoys developing, productionizing models and leading t

Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems. Solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow. As a Machine Learning Scie

Background includes machine learning and AI implementation. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles.

London team, delivering advanced machine learning and analytics solutions for organisations across sectors including retail, telecoms, consumer goods, and private equity. Design and implement advanced machine learning and data science solutions. Strong experience developing machine learning models (

We’re looking for a Machine Learning Specialist/Programmer who can translate research into real-world impact. In this role, you will help shape how machine learning is applied across the Studio, ensuring solutions are robust, usable and widely adopted. Degree or equivalent experience in computer s

Direct message the job poster from microTECH Global LTD.Location - London / Hybrid (3 days onsite, 2 days remote).MicroTECH Global is seeking unique individuals for a distinctive technology.Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shap

We are seeking an exceptional Lead Software Engineer with deep expertise in machine learning infrastructure, computer vision engineering, cloud‑native architecture, and the Nvidia Enterprise ecosystem.

As a Machine Learning Engineer at Headout, you will play a pivotal role in developing AI-powered solutions that enhance our platform and create exceptional experiences for travelers worldwide. Work on a variety of machine learning projects spanning different domains. As machine learning and AI techn

You will join us as our Head of Machine Learning, and report to our CTO. You’ll manage a Chapter of 9 Machine Learning Engineers, including 3 Team Leaders. Lead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship.

You’ll combine mastery of modern machine learning with strong scientific intuition and exceptional engineering skills to develop AI systems that meaningfully accelerate drug discovery. PhD (or equivalent) with significant academic or industry research experience in a related technical field involv

A leading FinTech company in Central London is seeking a Head of Machine Learning to lead their Data Science team. Candidates should have 3-4 years of experience in Machine Learning, AI, and a strong technical background in Python and Azure.

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. In‑depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural network

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. Defining and implementing best practices and standards for deploying machine learning at scale across the business.

Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning. Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.

This is a hands-on engineering role focused on taking machine learning models from concept through to production, helping scale AI capabilities across a high-impact product used by major institutions. Designing and deploying machine learning models powering product features. Proven track record buil

Implement MLOps Best Practices: Design and maintain CI/CD workflows for machine learning, automating model training, testing, and deployment using MLflow and Databricks Asset Bundles. Experience: 5+ years in Data Engineering or Machine Learning Engineering. We are seeking an experienced Machine Lear

They should be highly proficient in the Microsoft ecosystem—including Fabric, Azure AI/ML, Foundry, API‑driven solution development and data‑warehousing concepts—and capable of building practical, production‑ready AI and machine‑learning models.

The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura�

London, England, United Kingdom Machine Learning and AI. Senior Software/Machine Learning Engineer - Apple Music. Our work includes data analysis, large‑scale offline pipelines, machine‑learned model training and inference, and online services to provide real‑time personalised experiences.

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing

Senior) Machine Learning Engineers at Cleo build novel solutions to real-world problems. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, crea

Deep understanding of machine learning, data analysis, and statistical modelling.

Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. They train, deploy, and improve machine learning models in production, ensuring they deliver meaningful impact for our users. We’re looking for our next Lead Machine Learning Engineer to join our.

This role involves designing machine learning models, contributing to research, and collaborating with diverse teams. A leading gaming company in Greater London is seeking a Machine Learning Engineer to innovate and push technological boundaries within game development. Competitive compensation and

Key Qualifications*** Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)* Strong software engineering skills and experience building robust ML codebases

You should have hands-on experience with deep learning, modern machine learning frameworks, and familiarity with scaling systems, all while contributing to a supportive, inclusive workplace. A leading online fashion retailer in Greater London is seeking a Machine Learning Engineer to join a dynamic

Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutio

Architect, fine‑tune and optimise machine learning models including LLMs and classical ML approaches. Significant experience building, training and deploying machine learning models. MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science.

As a Staff Machine Learning Engineer at Orbital, you will architect cutting edge AI systems for the multi‑scale design of physical technologies. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. Foster a culture of l

Hands‑on with modern machine learning (sequence models/transformers, representation learning, regularization, cross‑validation, causal/robust inference) applied in practice. Machine Learning Researchers on our Options team turn cutting‑edge ideas and petabyte‑scale data into bleeding‑edge

Senior Machine Learning Engineer — Ranking & Recommendations. We're looking for a Senior Machine Learning Engineer to be the first dedicated ML hire.

Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong experience with machine learning pipelines and orchestration tools such asAirflow,SageMaker Pipelines, or similar. Deep understanding of machine learning fundame