steer our technical direction and utilize cutting-edge technologies to support our mission. Key Roles & Responsibilities: Lead Design and Development: Research, design, and deliver machinelearning solutions to tackle problems within the search & discovery space such as learning-to-rank models, vector search, and embedding models. Understand … Business Requirements: Understand requirements from various stakeholders across the business, designing machinelearning solutions to solve business problems, such as: How can we surface relevant results for this search? How can we show users personalized results in real time? What is the right price for this user? Experimentation … working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch. Passion for learning new skills and staying up-to-date with ML algorithms. Knowledge of fundamental machinelearning concepts (feature engineering, algorithms, model evaluation, model bias, etc.). Bonus Points: Experience with Databricks and PySpark. more »
contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research areas in … computer vision, machinelearning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company Contribute … broader research strategy of the company Challenge the status quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art MachineLearning and Deep Learning techniques to develop original solutions to world wide problems. more »
MachineLearning Engineer Remote Position DeepRec.ai are hiring for a talented MachineLearning Engineer to join a fantastic organisation on the East Coast who are using AI to transform and improve the clinical workflow. This is an innovative and inspiring organisation who have specific clinical tasks … strategic abilities. This will be an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machinelearning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience more »
London, England, United Kingdom Hybrid / WFH Options
DeepRec.ai
MachineLearning Engineer Remote Position DeepRec.ai are hiring for a talented MachineLearning Engineer to join a fantastic organisation on the East Coast who are using AI to transform and improve the clinical workflow. This is an innovative and inspiring organisation who have specific clinical tasks … strategic abilities. This will be an exciting journey to build their AI practice and a team around you. Required Skills: Building cloud and native machinelearning architecture with: LLamaIndex, HuggingFace, SentenceTransformers, PyTorch, Python, Apache Spark. Experience with practical application of AI and scaling AI with these tools Experience more »
MachineLearning Engineer Up to £75 000 London Company: This company is a global creative consultancy that partners with huge companies such as Mastercard, SAMSUNG, Mercedes, and Virgin Media! They are looking for a Senior Data Scientist to join their team, who has a great generalist background to … work on a variety of exciting projects as a senior member of the team. Responsibilities: Build machinelearning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers …/CD. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: MachineLearning, CI/DC, MLFlow, Kafka, Kubernetes, Consulting, Constancy more »
domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machinelearning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, MachineLearning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machinelearning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »
MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machinelearning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machinelearning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud more »
BioAI MachineLearning Research Engineer (Mid-Senior Level) Location: London or Paris Hybrid Working Salary: London £60-95k depending on experience & Paris Euros 55-75k NO SPONSORSHIP AVAILABLE, SORRY Join a Global AI Solution company as they go through their next phase of growth! Our client … across the MRNA or Histology space (you must have experience in one of these areas). You will look at the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing … premise and into the cloud. Skills : Experience either within the MRNA or Histology space Degree educated within a relative subject across STEM or Biology MachineLearning across LLM/NLP or Computer Vision Strong python engineering End o end machinelearning pipeline experience Please get in more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
be:technology
with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and MachineLearning Models: Train and fine-tune AI and machinelearning models to improve the accuracy and efficiency of the platform’s … Background : Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . MachineLearning : Solid understanding of machinelearning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Be Technology
with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and MachineLearning Models: Train and fine-tune AI and machinelearning models to improve the accuracy and efficiency of the platform's … Background : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . MachineLearning : Solid understanding of machinelearning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »
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 Analysis … Work 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 »
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 »
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 »
My client, a Software Development Consultancy, are looking for an Azure MachineLearning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for MachineLearning and AI Solid understanding of Cloud architecture and networking for Azure … solutions Experience deploying machinelearning & large language models Infrastucture as Code (e.g. ARM Templates, Terraform) Establishing CI/CD Pipelines Proficiency with Python programming Understanding of data science methods and best practices Rate : £525 - £575 Inside IR35 Location : London/Hybrid (2x days per week on-site) Contract more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
IO Associates Careers
My client, a Software Development Consultancy, are looking for an Azure MachineLearning Engineer with Active SC Clearance for an initial 6 month engagement. Key Skills Required: Excellent knowledge of Azure technologies for MachineLearning and AI Solid understanding of Cloud architecture and networking for Azure … solutions Experience deploying machinelearning & large language models Infrastucture as Code (e.g. ARM Templates, Terraform) Establishing CI/CD Pipelines Proficiency with Python programming Understanding of data science methods and best practices Rate : £525 - £575 Inside IR35 Location : London/Hybrid (2x days per week on-site) Contract 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 »