working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience of machinelearning compilation to work on the compiler stack for our ground-breaking AI accelerators. In this role … you will: Develop the machinelearning compiler stack for … Fractile’s innovative AI acceleration hardware Enable industry-leading performance of the latest LLMs on Fractile’s accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology You have: Proven experience of the development of machinelearning compilers using industry more »
accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machinelearning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machinelearning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machinelearning techniques for search and retrieval, such as Learningmore »
at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for a Principal ML Compiler Engineer with demonstrated expertise in machinelearning compilation to work on the compiler stack for our ground-breaking AI accelerators. In this … role, you will: Design and develop the machinelearning compiler stack for … Fractile’s innovative AI acceleration hardware Enable industry-leading performance of the latest LLMs on Fractile’s accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware-software co-design methodology Support and develop more junior colleagues You have: Strong experience of the development of machinemore »
Are you passionate about using AI and machinelearning to make a real-world impact within the world of Financial Crime? Do you thrive on solving complex problems and uncovering hidden patterns in data? Join this forward thinking Fintech, help them protect our customers from financial crimes, starting … MachineLearning algorithms and models. Monitoring with BI Tools: Use Business Intelligence tools to monitor key product metrics and the performance of ML models. Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity … closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency more »
rapidly growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing MachineLearning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding … D projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machinelearning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset … of the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for MachineLearning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You more »
Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machinelearning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, MachineLearning, Computer Science, Data Science, or a related field. Extensive knowledge of machinelearning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machinelearning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »
of the world.Systems Integration Specialist – Job Summary:We have an exciting opportunity for a Software Developer/Engineer to work as part of a machine vision software development team. The role will involve work with customer organisations to integrate our machine vision software as machine vision engines … within computer vision workflow applications developed by customers.The successful candidate will work closely with existing machine vision specialists and software engineers developing machine vision solutions, and with customer organisations that will use machine vision engines to process large volumes of image and video data. The role will … work into practice.Contribute to the development of systems that will be core components of our machine vision, image analysis and other AI/ML products and the integration of these with customer systems.Support the work of other data scientists and developers in the team.Work with research colleagues and offer more »
proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. Responsibilities Daily Evaluation : assess support tickets related to MachineLearning models/algorithms developed by the Data Science team. Monitoring and Maintenance : lead all aspects of alerts to ensure the ecosystem's … to-day operations and performance. Data Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and MachineLearning : run analytics to extract statistics, patterns, and eventually craft machinelearning models to improve existing technologies. Work closely with the …/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machinelearning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with more »
day ⏰ 3 months + 🏠 Hybrid/London 📌Work across a range of clients in retail, telco, automotive and healthcare industries 📌Deliver a range of machinelearning and AI solutions to support omnichannel customer experience, personalisation and media performance 📌 Strong skills with SQL and Python required for predictive analysis … including price optimisation, optimising media performance and spend, Computer Vision, NLP, forecasting and propensity modelling. Responsibilities: Employ strong technical data science skills to build machinelearning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and media campaign performance. Deliver insights to drive the understanding of … across the business and translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, MachineLearning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and more »
S-Cube is an award-winning energy tech startup based in London. The company specializes in creating revolutionary machinelearning optimization algorithms and software for the seismic industry. S-Cube's X-Wave next-generation FWI is used by major global energy companies and continues to grow rapidly. … Responsibilities Algorithm Development : Contribute to the research and development of cutting-edge machinelearning algorithms and optimization techniques for seismic data processing and inversion. Data Preprocessing Pipelines : Design and implement robust data preprocessing pipelines to handle large-scale seismic datasets. Visualization and Reporting : Create insightful visualizations and reports … Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machinelearning Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is a bonus Familiarity with Linux, AWS/GCP/ more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
working) £up to £68,000 A leading financial organisation based in London is currently looking to recruit a Data Engineer to join a growing machinelearning team ideally with a strong track record of data modelling, developing, and delivering large scale data transformation project aligned with the overarching … Data Strategy. The successful data engineer will define, develop, and deliver data transformations that not only drives our Machinelearning models but create more strategic transformation that delivers consistent data across the organisation for the various business needs. Key responsibilities Delivering data transformation based on the overarching data … service levels, which you'll agree with your manager - and your contribution to our commitments Working with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements Providing quality assurance on machinelearning code developed by other team members You'll more »
of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machinelearning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machinelearning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machinelearning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »
in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machinelearning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design … Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machinelearning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … Document methodologies, processes, and results. Prepare reports and presentations for stakeholders. Qualifications Education: Bachelor's or Master’s degree in Computer Science, Data Science, MachineLearning, or a related field. Ph.D. is a plus. Experience: Minimum of 10 years of experience in data science, machinelearningmore »
that conducts support, research, and development across diverse areas such as cloud computing, high-performance computing, algorithm development, engineering and scientific computing, artificial intelligence, machinelearning, and Exascale technologies. We work at the forefront of engineering and science, ensuring fusion reactors are well understood and engineered, with our … research directly informing engineering efforts. Currently, we're seeking individuals for Artificial Intelligence & MachineLearning roles to contribute to various projects, providing software development, data analysis, and user support. You'll also engage with partners to ensure access to top facilities and assist in report preparation, actively meeting … user needs. Additional Responsibilities: - Work in a team to support development of AI and MachineLearning tools and investigate novel approaches to improve data science capabilities for experiments on JET, MAST-U and other fusion devices. - Exploit the convergence of AI and HPC at the Exascale. - Support the more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
RedTech Recruitment
Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machinelearning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. If you require more »
Employment Type: Professional qualifications, Work From Home
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
RedTech Recruitment Ltd
Software Engineer/Developer A brilliant opportunity for a R&D Software Engineer/Developer with strong Python skills to work on industry-leading, machine-learning software in Cambridge, UK. Offering excellent training, career progression and prospects, this is an ideal time to join this growing organisation and … part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machinelearning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will … for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates Highly interesting work developing cutting-edge, machine-learning software A good remuneration and benefits package Applications Please send an up-to-date CV via the relevant link. We’re committed more »
this role, you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machinelearning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently … candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machinelearning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have stakeholder management experience and … their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machinelearning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently present complex subjects more »
MachineLearning Engineer (optimization) – Startup LLM – up to £200k +equity – London Do you have experience with optimization and quantization for ML models on HPC clusters? Are you passionate about building groundbreaking technology and shaping the future of AI? Are you excited by the thought of starting a company … in early 2025! We’re looking for an experienced MachineLearning Engineer that has implemented SOTA Research and quantization techniques to optimize ML pipelines to enable people to ship their models faster and more efficiently. About you You’ll have experience applying quantization techniques, pruning, distributed training and … optimizing ML pipelines for training and deploying on GPU, managed HPC clusters, implemented inference servers. You’ll be able to define memory footprint, reduce memory consumption and improve data loading for ML Pipelines. Here are some of things we’d expect you to have: Experience in ML quantization, PEFT, DeepSpeed more »
social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.About the team:The Conversion ML team is responsible for improving and maintaining machinelearning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. … The team collaborates closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or … Germany. ML Engineers located in Paris will be asked to come into the office once a week and once a month if located in one of the above countries. Responsibilities:Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "MLmore »
global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machinelearning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year … software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, MachineLearning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … tailored solutions to non-standard machinelearning problems. Track record of industry recognition which could be in the form of high impact ML/AI conference contributions, contribution to high impact open source projects or performance in open source competitions such as Kaggle Benefits Attractive quarterly OKR bonus more »
to join their well established Data Science function acting as a Senior MachineLearning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »
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, machinelearning, and deep learning-based methodologies (classification, regression, etc. through to RNNs, signal processing, etc.) Ability to communicate complicated and often hugely more »
now seeking an experienced Bioinformatician to join their computational team. You will be an experienced Bioinformatician, with roots in maths and statistics. Exposure to machinelearning tools will be advantageous but not a deal breaker. You’ll need to be well versed working with NGS data and developing … or industry experience post PhD Strong background in maths and statistics Experience working within Oncology Experience processing, analysing and interpreting NGS data Exposure to ML tools and frameworks eg Tensorflow, Pytorch Proficient programming skills (Ideally Python) Familiarity with standard software engineering tools (Jira, Git, CI/CD) Experience using workflow … soon as possible! Keywords: Bioinformatics/Bioinformatician/Data Scientist/Data Science/Computational biology/Computational biologist/Statistics/Maths/ML/Machinelearning/Genomics/NGS/Next generation sequencing/Python/Cancer/Somatic/Oncology/Diagnostics/Product more »
MACHINELEARNING 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 MachineLearning 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 »
Founding MachineLearning 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 »