re looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference More ❯
Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. Preferred requirements: Undergraduate or postgraduate More ❯
or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Made Tech
or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯
generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment More ❯
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
or more Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of More ❯
London, England, United Kingdom Hybrid / WFH Options
Flo Health Inc
years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical More ❯
Senior ML Engineer, AWS Generative AI Innovation Center Job ID: 2817053 | AWS EMEA SARL (UK Branch) The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a More ❯
Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As More ❯
robotics (e.g., YOLO, ResNet) Collaborate closely with engineering and infrastructure teams to align delivery with client needs Build, train, and validate ML models using libraries such as Pandas, NumPy, TensorFlow, and Scikit-learn Implement and optimize automation workflows using Node-RED or ServiceNow Flow Designer Create unit tests and CI/CD pipelines to support robust, production-grade model … experience in ML, data science, or applied AI roles Strong background in computer vision, including model development and tuning Expert-level Python skills, especially with libraries like Pandas, NumPy, TensorFlow, and Scikit-learn Experience implementing image classification models (e.g., YOLO, ResNet) Familiarity with automation tools and data flow systems like Node-RED and ServiceNow Flow Designer Strong understanding of More ❯
for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving Experience in More ❯
preprocess large datasets to extract useful features for model training. Requirements 5+ years experience with user behaviour modelling, natural language processing, and multi-modal interaction data. Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers). Familiarity with personalization algorithms, recommendation systems, or reinforcement learning. Experience with cloud platforms such as AWS, Google Cloud, or Azure More ❯
London, England, United Kingdom Hybrid / WFH Options
myGwork - LGBTQ+ Business Community
Strong knowledge of linear algebra, calculus, probability, and statistics Demonstrated ability to write clean, idiomatic, and highly performant Python code Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Expertise with detailed data quality control procedures and data visualisation Experience with experimental design and statistical analysis Demonstrated understanding of More ❯
Strong knowledge of linear algebra, calculus, probability, and statistics Demonstrated ability to write clean, idiomatic, and highly performant Python code Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Expertise with detailed data quality control procedures and data visualisation Experience with experimental design and statistical analysis Demonstrated understanding of More ❯
AI landscape, identifying and adopting new techniques, tools, and methodologies as appropriate. Requirements: Excellent programming ability in Python and good experience with machine learning libraries such as PyTorch (preferred), TensorFlow, OpenCV etc. Experience in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of machine learning principles, deep learning techniques and GenAI More ❯
London, England, United Kingdom Hybrid / WFH Options
Ravelin Technology
Being comfortable working with a hybrid team. Nice to Haves Experience with Go, C++, Java, or another systems language Experience with Docker, Kubernetes, and ML production infrastructure PyTorch/Tensorflow deep learning experience Experience using dbt Benefits Flexible Working Hours & Remote-First Environment — Work when and where you're most productive, with flexibility and support Comprehensive BUPA Health Insurance More ❯
scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical modeling to support business strategies. Train, evaluate, and optimise machine learning models using frameworks such as TensorFlow or PyTorch. Lead and mentor junior data scientists and ML engineers. Develop and maintain clear documentation for AI/ML pipelines and analytical workflows. Skills/Must have: 5+ … years of hands-on experience in AI/ML development and data science. Strong proficiency in Python, R, or similar languages. Experience with ML frameworks such as TensorFlow, PyTorch, and data libraries like NumPy, pandas, scikit-learn. Skilled in data wrangling, preprocessing, and managing large-scale datasets. Solid understanding of statistical modelling, predictive analytics, and time series analysis. Experience More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
capabilities and how they address specific business challenges. Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous … the development and deployment of generative AI models. Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies. Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ More ❯
of advanced AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex AI and … mid-scale development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. Exceptional communication and leadership skills to mentor More ❯
applications. Key Responsibilities: Develop and maintain scalable backend services and APIs (Python, C++, Go). Build responsive frontend interfaces (React, Angular, or Vue). Deploy and optimise ML pipelines (TensorFlow, PyTorch). Design and manage cloud infrastructure (AWS, Azure, GCP). Collaborate across teams to deliver secure, performant software. Requirements: Degree in Computer Science or related field. Experience in More ❯
applications. Key Responsibilities: * Develop and maintain scalable backend services and APIs (Python, C++, Go).* Build responsive frontend interfaces (React, Angular, or Vue).* Deploy and optimise ML pipelines (TensorFlow, PyTorch).* Design and manage cloud infrastructure (AWS, Azure, GCP).* Collaborate across teams to deliver secure, performant software. Requirements: * Degree in Computer Science or related field.* Experience in More ❯
or Gaussian Splatting techniques. Desirable Skills Demonstrated experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR More ❯
re looking for: • PhD (or equivalent experience) in a relevant discipline • Deep knowledge of machine learning and statistical signal processing • Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn • Experience working with time-series, sensor, or RF data • Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
techniques to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a plus. Experience working with cloud platforms More ❯
user requirements into plans, to design, implementation and maintenance, whilst coordinating with other teams (and engineers). Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch and Scikit-learn. Experience working with ML training/inference platforms such as Databricks, SageMaker and Seldon. Experience building CI/CD processes with tools such as Jenkins More ❯