Greater London, England, United Kingdom Hybrid / WFH Options
Renude
technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support. About the Role As a MachineLearning Engineer y ou’ll work alongside a team of machinelearning researchers and engineers as well as our dermatological team. … our existing technologies, including computer vision models and recommendation systems. Key Responsibilities Define, evaluate and assess AI systems performance Develop and deploy production-quality machinelearning frameworks, while maintaining robust MLOps pipelines Explore and implement state-of-the-art algorithms to keep our product on the cutting edge … Minimum Qualifications Bachelor's degree in a technical field such as computer science or years of equivalent experience Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations Experience working with machinelearning frameworks such more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
Xpertise is seeking two talented MachineLearning Engineers to join an esteemed team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machinelearning models and data pipelines. With a strong emphasis on … Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machinelearning models in production environments. AWS cloud services, especially in building and managing data pipelines and machinelearning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machinelearning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
Xpertise is seeking two talented MachineLearning Engineers to join an esteemed team in Newcastle. As part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machinelearning models and data pipelines. With a strong emphasis on … or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machinelearning models in production environments. AWS cloud services, especially in building and managing data pipelines and machinelearning workflows: S3, Redshift … with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machinelearning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for more »
MachineLearning Engineer This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture focused on innovation and excellence but also have the … of MachineLearning Engineer will include: Develop and deploy machinelearning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … include: A minimum of two years industry experience in machine and deep learning development. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »
MachineLearning Infrastructure Engineer Perm London office 4 days per week Can offer sponsorship and relocation Up to £200K A YC-based start-up building the next-generation of helpful and honest AI is looking for a MachineLearning Infrastructure Engineer to join their founding team. … looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machinelearning models at scale. Not 1-10 GPU's but 1000's. You will also set up the hardware/infrastructure/the … and steering their evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machinemore »
knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machinelearning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machinelearning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machinelearning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s more »
experienced MachineLearning Engineer to work an exciting project, utilising the latest technologies. You will work closely with data scientists to take ML models from research to production while upholding engineering best practices. Responsibilities: Experience working with Data Scientists to understand ML models and translate them into robust … scalable production code using Python and tools like TensorFlow. Build and maintain ML pipeline architecture for activities including data ingestion, model training/retraining, evaluation, and deployment. Leverage cloud platforms (GCP) to create ML workflow orchestration and integrate with production systems, Vertex AI. Monitor and maintain ML systems in production … implement improvements. Define software engineering standards for building, documenting, testing and deploying machinelearning code. Stay up-to-date with advancements in ML ops and DevOps for machinelearning systems. Requirements: 3+ years’ experience building and deploying machinelearning systems. Expert in Python. Knowledge more »
Senior ML Engineer Engineer - £80-110k ***Python, C++, MachineLearning, LLM, HPC, GPU, CUDA*** Location: Hybrid/London Sector: AI Products & Solutions Please note - sponsorship is not available for this role. This is a leading AI product and solutions company who operate globally and work at the … and designing the systems for today as well as what the business needs over the next 6-12 months using cutting edge technology across ML & engineering. Your skills: You would have a mix of engineering and machinelearning experience - across ML models and frameworks. You would have experience … in scaling ML models, with a focus on performance, speed and optimisation. You would have experience working on HPC, GPU's and/or CUDA kernels across distributed systems. Ideally you have experience across Python, C/C++. Please send your CV to find out more. I look forward to more »
MachineLearning Engineer – Remote As a MachineLearning Engineer do you want to work with a leading provider of customer engagement solutions? As a MachineLearning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates … and simplifies the journey of digital transformation. Your role: As a MachineLearning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We … Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark more »
MachineLearning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machinelearning algorithms and experience in using at least one deep learning framework. more »
Director Of MachineLearning-AI Accelerator Opportunity to Join a global semiconducting organization that is an Artificial Intelligence chip manufacture that creates AI hardware and software platforms for edge computing is looking for a Director of MachineLearning to work fully remote within Europe, the United … Kingdom and Switzerland. Responsibilities Lead and grow the R&D team in the development of innovative machine-learning models and algorithms. Collaborate with cross-functional teams to align R&D activities with business objectives. Drive the strategy and vision for AI research and development within the company. What … s in it for you Remote Working Options Promotion Guaranteed prospects. Competitive Salary Packages Requirements :- PHD in Computer Science, MachineLearning or Artificial Intelligence 5+ Years experience in MachineLearning 3 years of leadership Experience Familiar with various AI Frameworks Strong Leadership and team management Skills more »
and professional, you will be responsible for understanding the business and developing models to meet the business needs. The role will involve working with ML Engineers and Software Engineers to enable efficient algorithm deployment and management of the ML lifecycle. We are looking for someone who has a passion for … business problems can be solved with machinelearning · Data Sourcing, Cleaning and Exploration · Analyse and visualize data at different stages of the ML lifecycle · Capable of developing custom models and algorithms · Work with multiple datasets and generate synthetic data · Develop data annotation strategies · Communicate with stakeholders across the … tools Qualifications and experience · Bachelor's or Master's degree in a Computer Science, Data Science, Mathematics, or a related subject · Excellent knowledge of ML model development and the ML Lifecycle Essential skills · Problem-solving · Programming - Python · Statistics · Data science · Data Analytics · Data visualization · Knowledge of common ML Tools and more »
Bedford, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
Senior MachineLearning Engineer – Remote As a Senior MachineLearning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior MachineLearning Engineer you will have the opportunity to join a high-growth organisation providing customised software … solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior MachineLearning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation … Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data more »
Senior MachineLearning Engineer Currently looking for a Senior MachineLearning Engineer to join a leading, online UK fashion/retail brand on a contract basis! Incredibly comfortable working with Python. Work in cross-functional teams combining data science, data engineering, BI, machinelearning … management. Implement and deploy machinelearning models at scale. Understanding of NLP Experience with LLM (Large Language Models) Previous experience product-ionising ML models x2 Stage interview process. Rate :: £800/day (Outside) Length :: 6 Months Location :: UK (Must be based in the UK) Start Date :: ASAP more »
Senior MachineLearning Engineer £90,000 - £120,000 in Central London – 2 days a week FinTech La Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine … listed below: project management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML …/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more »
R&D data . You will become part of an interdisciplinary Bioinformatics team, working at the heart of research and development creating an active learning system, in which model predictions guide lab experiments, lab automation generates high-throughput data for model training , and predictive models are updated as new … field. What you'll do You will work closely with our R&D scientists in fields of software engineering , lab automation, computational modelling and machinelearning , with access to biologics R&D data across AstraZeneca constantly generating new data to both build and inform predictive models . This … . Collaborate with web application developers to integrate the Genedata Biologics system with custom applications for experiment design and data analysis . Collaborate with machinelearning colleagues to develop an active learning system that continually trains machinelearning models on data from biologics experiments and more »
and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines. Education: Master's or Ph.D. in Computer Science, MachineLearning … Data Science, or a related field. Professional Experience: The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machinelearning algorithms, statistics, and data structures within relevant … Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European more »
/2024, 17:27 Locations LONDON, LONDON, United Kingdom Job Schedule Full time JOB DESCRIPTION The Applied Innovation of AI team, a premier machinelearning group within the Chief Technology Officer's office at JP Morgan Chase, addresses business critical priorities using innovative machinelearning techniques. … levels. As a Lead Software Engineer at JPMorgan Chase within the Applied Innovation of AI (AI2) team, you will be part of an elite machinelearning group strategically located within the CTO office. Your role will involve collaborating with data scientists and research/machinelearning … modern web stacks. (VP) Contribute significantly to architecture and software management discussions & tasks Rapid prototyping & shorten development cycles for our software and AI/ML products: Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning more »
Senior MachineLearning Engineer This company came into Belfast in 2020, and since then has built a reputation as a fantastic employer with no glass ceiling – their engineers soar. Since growing to a software engineering team of over 50, they are now creating a brand new Data Engineering … great opportunity to be part of a start up team, within the security of a very successful organization. They are looking for a Senior MachineLearning Engineer to join – this is a key role in this new team. You’ll build next gen platforms to serve innovative data … maintain. You’ll ideally have the following skills and experience: 5+ years experience in an engineering/data science environment with a focus on machinelearning Experience supporting cloud platforms – AWS preferred IaC and container orchestration environments – Kubernetes preferred Experience working with MachineLearning technologies and more »
Senior MachineLearning Engineer London office 1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior MachineLearning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a … strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior MachineLearning Engineer/Senior NLP/LLMs Engineer will include but not be limited to: Leverage MachineLearning/NLP techniques to build Large Language Models. Fine-tune Large … Language models and optimise them through applied Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in Natural Language Processing/NLP more »
Software Engineer MachineLearning - Remote - £120K One of our clients who are a leading technology company are seeking a Software Engineer that is an expert in Machine Learning. Offering remote working, must be located in the UK. You will have the opportunity to build machinelearning … tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Software Engineer with a focus on machinelearning or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch … with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »
from different businesses in the financial domain currently not available anywhere else. Write production-ready code and work with tech teams to ensure your ML solution is deployable at scale across multiple lines of business. Develop products that can change how corporate and investment banking is done today. Research and … develop innovative ML based solutions to some of cross-functions and operations hardest problems. Build robust data science capabilities which can be scaled across multiple business use cases. Collaborate with software engineering teams to design, deploy, and maintain production-grade ML models that can be integrated with strategic systems. Research … or PhD in a quantitative or computational discipline Considerable commercial experience in line with a capable individual contributor; developing and deploying data science and ML capabilities in production at scale. Strong Python development and debugging skills. Capable to develop high quality reusable code that can be leveraged from a larger more »
Role Description This is a contract MachineLearning with AI Tutor role located in Greater London. As a Tutor, you will be responsible for delivering high-quality training and support to students in the field of MachineLearning and Artificial Intelligence. This role involves assisting students … in understanding concepts, providing guidance on projects, conducting assessments, and facilitating interactive learning experiences. Please note that this is an on-site role and traveling required. Must be available from the 2nd week of May onwards, and travel is required. UK passport required due to nature of work Qualifications … Strong knowledge and practical experience in MachineLearning and Artificial Intelligence Experience in teaching or tutoring in the relevant field Excellent communication and presentation skills Ability to tailor teaching methods and materials to meet the diverse learning needs of students Strong problem-solving and analytical thinking skills more »
Remote Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machinelearning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release plans. … They will work collaboratively with the Head of MachineLearning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and … development of NLP models to address clinical or business use cases. Skills MachineLearning, Natural Language Processing (NLP), Deep Learning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval more »
Lead MachineLearning Engineer🚀 Explore the realm of dynamic visual technology and augmented reality with this team! lead the development of machinelearning systems from start to finish. If you excel … at using computer vision and machinelearning techniques to solve problems , Managed a team and take charge of the process of developing ML systems, from testing to creating finished products 🎯With benefits such as: 25 days Annual Leave PLUS Bank Holidays Great Company Pension Hybrid Working And Much … More! 🎯Your Experience: Extensive and Expertise in MachineLearning (10+yrs) Proficient with Python and Pytorch Leadership Experience Abilities in Computer Vision Want to know more? Maybe you know someone who fits this role perfectly. Get in touch or apply now more »