76 to 100 of 471 Permanent Machine Learning Jobs in London

Learning Researcher (London – visit the office 3 days a week) Xcede are delighted to be working with one of the most important ML Research Labs in the UK. The innovation hub sits within one of the world’s largest tech & manufacturing brands The team are working on prototypes … in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »

MACHINE LEARNING ENGINEER REMOTE £70,000 - £90,000 COMPANY: We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses withing the property and real estate industry. They are looking for an experienced Machine Learning Engineer … as well as work closely with their clients. ROLE: You will be involved in implementing and fine tuning LLM's Designing, implementing and maintaining ML pipelines Define infrastructure requirements and architecture for Model Training and Inference Measure and review the performance of production models - Regularly conducting evaluation and tuning Collaborate more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

Founding Machine Learning Engineer - Fine Tuning Expertise required. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in AI, who have worked for the biggest names, who work … automated fine-tuning framework that can scale to the next order of magnitude of training runs. Experience in creating/managing HPC clusters for ML models and efficiently serving large ML models at scale is a huge bonus. Required Credentials: Master's degree as a minimum, ideally a PhD Released … a l eading AI research laboratory, or a pioneering AI business Key Requirements: Fine Tuning Expert Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

Founding Machine Learning Engineer with expertise in LLM Founding MLE required for a AI safety and research company. USP's: An opportunity to be an integral Founding member of a future AI Unicorn Exceptional leadership in place Exceptional talent across the team, working with the brightest minds in … the world's leading VC firms to help them build one of their hottest future AI Unicorn businesses building cutting-edge LLM. The Founding Machine Learning Engineer will be influential in steering the product development, technical success, overall growth, and mainly the culture of a future AI Unicorn … Key Requirements: Python and PyTorch expertise Experience in SLURM, Ray, or similar Graphics Processing Units (GPUs) Experience in creating and managing HPC clusters for ML models Experience in efficiently serving large ML models at scale Experience serving LLM models at scale Able to produce and refine large-scale ML systems more »

Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End … to-end machine learning product development, from data wrangling to model tuning and deployment Provide insightful storytelling to stakeholders through compelling dashboards and visualisations Lead and oversee intricate data projects Coach and mentor more junior data scientists, fostering a collaborative, innovative, peer-review culture within the team Requirements … Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »

cutting-edge software and AI solutions. Their mission is to revolutionize industries through advanced technology, utilizing a combination of Java, Kotlin, React, JavaScript, MongoDB, Machine Learning, and Azure cloud services. They are dedicated to pushing the boundaries of what's possible and delivering impactful solutions to their clients. … technical specifications and solutions. Design and develop robust, scalable, and efficient software applications using Java, Kotlin, React, JavaScript, MongoDB, and other relevant technologies. Implement machine learning algorithms and integrate AI capabilities into software solutions to enhance performance and functionality. Work closely with DevOps teams to ensure smooth deployment … development, with a strong proficiency in Java, Kotlin, React, JavaScript, and MongoDB. Solid understanding of machine learning concepts and experience in applying ML algorithms to real-world problems. Hands-on experience with cloud platforms, preferably Azure, and expertise in deploying and managing applications on cloud infrastructure. Strong problem more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning more »

key part of your role. What are the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements … scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing … with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. more »

as this position holds massive future potential for growth. Your role will involve: Developing our web application written in Javascript and NextJS; Implementing backend machine learning and data services, and integrating them with our web application. Suggesting and leading internal tools for our team to use that will … web applications Quantitative degree from a top university The following is DESIRABLE, not essential: Experience with Node.JS to a production level Familiarity with various machine learning APIs An understanding of machine learning techniques Benefits: Making a serious impact from day one. We're an agile company more »

to AI models and deployments - Ensure compliance with data privacy and security regulations - Stay up-to-date with the latest advancements in AI and machine learning As a Gas Processing AI Engineer, you will play a crucial role in developing, implementing, and maintaining artificial intelligence solutions that drive …/opportunities, design AI models, and deploy such models in the gas plants. The ideal candidate should have a strong background in AI and machine learning with hands-on programming and problem-solving skills. Minimum Requirements As a successful candidate, you must have a Bachelor's or Master … Hands-on experience in implementing successful AI projects in the Gas Processing sector - Strong programming skills in Python, TensorFlow, and PyTorch - Experience with reinforcement learning and generative AI (LLM) models - Experience with natural language processing (NLP) and AI Computer Vision - Excellent communication and leadership abilities Requirements: - Bachelor's or more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

AWS cloud services Developer for Machine Learning Software Development company. Key Skills Big data; import, manipulation, storage and management. Redshift; (Athena and Glue, security process and Infrastructure on Cloud/IoC). Python DevOps; Automation Testing, CI, implementation and environment provisioning. This is a senior role that will … mix hands on coding and infrastructure management. It will suit a senior AWS Cloud expert with significant Data Science, Machine Learning or Big Data experience. more »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Reviewing code and … with mentorship/team leadership experience. Background in core and fundamental Data Science practises Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management skills Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or more »

8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point. This involves: Building edge applications processing vision data and communication layers for the compute-constrained edge … deployed edge computers)/infrastructure management (we use Salt)/monitoring (we use Grafana)/video processing & streaming (we use Gstreamer)/experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer £80-120k base Company equity % in more »

Description Higgsfield AI democratizes marketing video creation using proprietary foundational video models. Role Description This is a full-time on-site role for a Machine Learning Researcher at Higgsfield AI in the London Area, United Kingdom. Your day-to-day tasks will include training … large-scale world models and bringing them to production. Qualifications Strong software engineering skills and proficient in Python Have experience working with multi-modal ML pipelines Strong problem-solving and analytical thinking abilities Excellent communication skills and ability to work in a team Have experience of large-scale training Experience … in conducting research and implementing machine learning algorithms Master's or Ph.D. degree in Computer Science, Statistics, or related field more »

commercial goals to identify opportunities to quickly deliver customer value Ensuring that the product continues to use best practices, utilising advances in AI/machine learning ???? What you’ll bring Demonstrated experience developing data strategy and machine learning algorithms for consumer applications, preferably with a agtech … focus Knowledge of the latest practices in AI/machine learning and can creatively apply them to a consumer application Demonstrated ability to deliver product in a tech startup environment and with speed Confidence to manage a tech team to develop a mobile app, and ability to inspire more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is … due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop … corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »

pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory … in Python programming language, with a deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »