applied machine learning engineer Jobs in London

applied machine learning engineer

graduate data scientist

lead data scientist - routing Jobs in London

lead data scientist - routing

machine learning engineer - customer solutions Jobs in London

machine learning engineer - customer solutions

machine learning engineer london, england, united kingdom Jobs in London

machine learning engineer london, england, united kingdom

machine learning scientist

NLP PEOPLE

Overview We're looking for aResearch Scientist (Machine Learning)to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.This role will off you<ul><li>Work at the intersection of AI and life sciences with high-impact applications.</li><li>Hybrid working (3 days per week in the London office).</li><li>A collaborative, inclusive culture with opportunities for growth and leadership.</li></ul> What you'll do <ul><li>Design and develop novel ML models and algorithms.</li><li>Apply deep learning and generative modelling to complex scientific problems.</li><li>Collaborate with experts across biology, chemistry, physics, and engineering.</li><li>Analyse, tune, and optimise experimental results.</li><li>Depending on experience: lead projects, mentor others, and shape research strategy.</li></ul> What you'll bring <ul><li>PhD (or equivalent experience) in ML, computer science, or a related field.</li><li>Proven expertise in deep learning research and model development.</li><li>Strong knowledge of mathematics (linear algebra, calculus, statistics).</li><li>Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.</li><li>A passion for applying ML to real-world scientific challenges.</li></ul> Nice to have <ul><li>Experience working with biological or chemical data.</li><li>Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.</li><li>Contributions to publications, research projects, or open-source ML.</li></ul><img src="https://www.jobg8.com/Tracking.aspx?3T4Xc8xAqRkMacEatShEH8vB88tUDqUZp" width="0" height="0" />

Research Scientist (Machine Learning)

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of ExcellenceThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.Job Responsibilities • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journalAbout MLCOE The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement LearningFor more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Company: Chase- Candidate Experience page Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom <img src="https://www.jobg8.com/Tracking.aspx?Ju8ovp2JVQHH5b0Wvhj8gtSh3v%2bbyQjen" width="0" height="0" />

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Amazon

Welcome to Amazon's Worldwide Returns & ReCommerce (WWR&R) Team At WWR&R, we're revolutionizing returns management through our innovative "Zero Initiative," focusing on eliminating return costs, waste, and defects. Our mission extends beyond conventional business metrics to create lasting value for our customers, company, and environment. As pioneers in Amazon's circular economy, we're transforming how returns are handled through edge technology and operational excellence. Our approach combines sophisticated machine learning, automated routing systems, and innovative reuse channels to create seamless experiences for our customers while significantly reducing environmental impact. Our diverse team of experts in business, technology, and operations works collaboratively to manage the complete lifecycle of returned and damaged products. We're developing next-generation solutions that streamline the returns process, enhance product support, and create sustainable reuse opportunities. Join us in building scalable, high-impact solutions that shape the future of sustainable commerce while delivering exceptional customer experiences. At WWR&R, you'll be part of an innovative team that's committed to transforming returns management while contributing to a more sustainable future. Key job responsibilities -Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and statistical approaches. -Mentor junior scientists and interns by providing technical guidance for their projects. -Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PREFERRED QUALIFICATIONS - Experience in building machine learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fH%2f1zsvk3vZzePNMqPp7o08t" width="0" height="0" />

Senior Applied Scientist, Worldwide Returns & Recommerce - Science

Senior Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Singapore Private Limited Overview Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Responsibilities <ul> <li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li> <li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li> <li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization</li> <li>Provide customer and market feedback to product and engineering teams to help define product direction</li> </ul> BASIC QUALIFICATIONS <ul> <li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work experience</li> <li>5+ years of hands on experience with Python to build, train, and evaluate models</li> <li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing</li> <li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li> <li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li> </ul> PREFERRED QUALIFICATIONS <ul> <li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li> <li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li> <li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li> <li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li> <li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li> <li>Track record of leading the design, implementation and delivery of scientifically- complex solutions that span multiple teams.</li> <li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li> </ul> Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<img src="https://www.jobg8.com/Tracking.aspx?BrmZWvLiuv6EConFlJJTNQyFUmlw37xbs" width="0" height="0" />

Senior Applied Scientist, Generative AI Innovation Center

Data Science Festival

Lead Data Scientist - Routing Salary: Up to £100k + Benefits Location: London, Hybrid Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions. What's in it for you? <ul><li> Hybrid working </li><li>25 days holiday + bank holidays, plus Christmas Eve off</li><li> Private medical cover , enhanced sick pay, and in-house gym</li><li> Free breakfast , barista coffee, and Thursday social drinks</li><li>Pension scheme with employer contributions</li><li>Enhanced maternity leave</li><li>Travel perks including Cycle to Work and EV scheme </li><li>Be part of a high-growth tech-led logistics company that values innovation and impact</li></ul> Skills and Experience <ul><li>Experience building optimisation or ML models in logistics , transport , or consulting </li><li> Expertise in Mixed Integer Programming , heuristics , approximate algorithms , constraint programming , or ML/DL</li><li>Hands-on with Python and SQL </li><li> Domain knowledge in areas like routing , pricing , forecasting , or procurement planning</li><li>Excellent communication skills</li><li>Comfortable working in agile teams with a fast-delivery mindset</li><li>A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done</li></ul>If you're a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we'd love to hear from you. Click Apply to send your CV and start the conversation<img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fHPd6vLas%2fBhsubwPZBf1dWt" width="0" height="0" />

Lead Data Scientist - Routing

Unitary

The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you will: <ul> <li>Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.</li> <li>Contribute to the development of our Virtual Agent development platform that scales with our product strategy.</li> <li>Ensure our AI services maintain high standards of reliability, observability, availability, and performance.</li> <li>Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.</li> <li>Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.</li> <li>Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.</li> </ul> We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: <ul> <li>Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems</li> <li>Can (or want to learn to) develop agentic AI systems that can automate human processes</li> <li>Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently</li> <li>Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions</li> <li>Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input</li> <li>Can travel to our company-wide offsites three times per year</li> </ul> It would be even better, but not essential, if you have: <ul> <li>Experience working in a fully remote, international team</li> <li>Previous startup experience</li> <li>A background in building and operating agentic AI systems</li> <li>Experience with MLOps practices and tools, and monitoring machine learning systems in production</li> <li>Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD</li> <li>Proficiency with SQL and NoSQL databases</li> <li>Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform</li> <li>Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements</li> </ul> The team Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including: <ul> <li>Flexible hours and location</li> <li>Competitive salary and equity package</li> <li>Occupational pension</li> <li>Generous paid parental leave</li> <li>Generous paid sick leave</li> <li>Annual budget for your professional development and growth</li> <li>Annual budget for your individual health and wellness</li> <li>Three team offsites to London or other exciting destinations in Europe</li> </ul><img src="https://www.jobg8.com/Tracking.aspx?CY95c1eotcwP9N7F5Lm8G74O0unjkptnd" width="0" height="0" />

Machine Learning Engineer - Customer Solutions

Matthey

Process Scientist I page is loaded Process Scientist Ilocations: Enfield - UKtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R-013826 Job title Process Scientist Location: Brimsdown, London World-changing careers, enabled by Johnson Matthey. With more than 200 years history, join us and help to accelerate the transition to net-zero! As a Process Scientist, you'll contribute to JM's mission as a world leader in sustainable technology, transforming energy and reducing carbon emissions for a cleaner, brighter future.We are seeking a Process Scientist to provide process support to the evaluation department in Brimsdown as well as develop and improve sampling and evaluation processes for customer feedstocks to the PGM refining business. The work will involve monitoring and analysis of processes and data in conjunction with laboratory, pilot and plant scale development and commissioning trials for our operations at Brimsdown. As the Process Scientist, you will help drive our goals by: Provide general technical support to the Evaluation department to address processing issues and concerns and ensure safe and efficient operations. Design and carry out validations of sampling techniques to ensure the results are representative and repeatable. Build knowledge and expertise in sampling through participation in external courses and reading literature. Assist with refining evaluations to determine sampling and processing routes for potential new refining opportunities and identify potential EHS or operational concerns. Provide technical input into potential process improvements, modifying or commissioning new equipment in the evaluation department as needed. Conduct investigations to assist in Customer complaint resolution. Collaborate with Supply Chain, Commercial, and Analytical teams to investigate and resolve potential sampling issues and evaluate risks. Key skills that will help you succeed in this role : Degree in Materials Science, Metallurgy or Chemistry High level of numeracy, working with data and statistics Demonstrated an understanding and commitment to EH&S Experience working in a quality-driven environment Good practical skills and experience at lab, pilot or plant scale Desire to learn new skills and processes Delivers innovative & practical solutionsEven if you only match some of the skills, we'd love to hear from you to discuss further! What we offer: We make sure salaries are fair, competitive and aligned to individual roles, experience and responsibilities. We are also supportive of hybrid and flexible working and where applicable, offer life, medical and other benefits that support our employees' financial and physical wellbeing, such as: Retirement savings Share plans Saving accounts Life assurance and income protection Medical plans / health assessments Fitness discountsAt JM, inclusivity is central to our values. We create an environment where everyone can thrive, embracing diverse perspectives to tackle challenges and ensure all colleagues feel valued and connected.For any queries or accessibility requirements, please contact . We will work with you to make suitable adjustments at any stage of the recruitment process. All conversations are confidential, and your feedback is welcome to help us provide an accessible and positive recruitment experience.Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks, early application is advised. submit your application, please click the "Apply" button online.All applications are carefully considered and your details will be stored on our secure Application Management System. This is used throughout Johnson Matthey for the selection of suitable candidates for our vacancies as they arise.Johnson Matthey respects your privacy and is committed to protecting your personal information.For more information about how your personal data is used please view our privacy notice: . By applying for this role and creating an account you are agreeing to the notice.Johnson Matthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.<img src="https://www.jobg8.com/Tracking.aspx?CY95c1eotcwyWTQt1YkPf04L7nPY0ML8d" width="0" height="0" />

Process Scientist I

Explore 60+ Machine learning scientist in London this October. Find roles across top companies and apply now to boost your career.