building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and deployment. High level of communicating effectively across internal and external More ❯
building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and deployment. - High level of communicating effectively across internal and external More ❯
architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and … Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What we offer Culture of caring More ❯
architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and … Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What We Offer Culture of Caring More ❯
Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description. Our tech stack Languages: Python (PyTorch, NumPy, OpenCV) ML Frameworks: PyTorch, TensorFlow, OpenCV Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow MLOps Tools: DVC, Weights & Biases, TensorRT Version Control & CI/CD: GitHub … Experience deploying ML models at scale, with knowledge of MLOps, model optimisation, and inference acceleration. Proficiency in Python and AI/ML frameworks like PyTorch & TensorFlow. Familiarity with cloud platforms (AWS, GCP, Azure) and containerised environments (Docker, Kubernetes). desirable Knowledge of camera models and calibration. Ability to communicate complex More ❯
in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab More ❯
in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab More ❯
great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Oliver Bernard
great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯
great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £115 - 140k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Oliver Bernard
great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £115 - 140k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯
technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid working More ❯
london, south east england, United Kingdom Hybrid / WFH Options
HUG
technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid working More ❯
learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Acquired Talent Ltd
learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious More ❯
Strong academic background in Mathematics, Computer Science, or related field. Experience deploying ML models at scale in real-world, high-performance environments. Fluency in PyTorch (or similar) environments, with experience in multi-node training and scale-up workflows. Deep understanding of ML Ops best practices : experiment tracking, data/version More ❯
Strong academic background in Mathematics, Computer Science, or related field. Experience deploying ML models at scale in real-world, high-performance environments. Fluency in PyTorch (or similar) environments, with experience in multi-node training and scale-up workflows. Deep understanding of ML Ops best practices : experiment tracking, data/version More ❯
We’re working with an award-winning AI and customer analytics company at the forefront of transforming first-party data into real-time, actionable insights. Recognised recently as AI Company of the Year at a leading industry awards show, they More ❯
We’re working with an award-winning AI and customer analytics company at the forefront of transforming first-party data into real-time, actionable insights. Recognised recently as AI Company of the Year at a leading industry awards show, they More ❯
Qualifications: 6+ years of software engineering experience, with recent experience developing AI/ML tools and applications Proficient in Python and ML frameworks (TensorFlow, PyTorch) Experience with cloud and on-premises environments; familiarity with high-performance computing is a plus Financial industry experience is a bonus, but not required More ❯
Qualifications: 6+ years of software engineering experience, with recent experience developing AI/ML tools and applications Proficient in Python and ML frameworks (TensorFlow, PyTorch) Experience with cloud and on-premises environments; familiarity with high-performance computing is a plus Financial industry experience is a bonus, but not required More ❯
of statistics, probability etc. Background in software engineering would be preferable, with demonstrable experience of writing production ready software Experience with Python Knowledge of Pytorch Any experience with C++ and/or Linux would be advantageous Experience of putting models into production and optimising those models This team work primarily More ❯
of statistics, probability etc. Background in software engineering would be preferable, with demonstrable experience of writing production ready software Experience with Python Knowledge of Pytorch Any experience with C++ and/or Linux would be advantageous Experience of putting models into production and optimising those models This team work primarily More ❯
