21 of 21 MLflow Jobs in the UK excluding London

prompt engineering (e.g., GPT, BERT, T5 family). • Familiarity with on-device or edge-AI deployments (e.g., TensorFlow Lite, ONNX, mobile/embedded inference). • Knowledge of MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) for experiment tracking and model governance. • Open-source contributions or published papers in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.). More ❯

Docker, Kubernetes, container Registries, etc) Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced analytical use cases LLMs and Agentic AI BI tools such as Tableau/Power BI Other desirable skills and More ❯

be beneficial but not essential: Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced analytical use cases LLMs and Agentic AI BI tools such as Tableau/Power BI Other desirable skills and More ❯

of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details More ❯

as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong scripting skills in Bash, PowerShell, or similar scripting languages for automation of tasks and ability to write reusable and maintainable code to streamline ML operations Proficient in More ❯

Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and serverless architectures, as well as MLOps practices and tooling (MLflow, Vertex AI, SageMaker). Exceptional at working autonomously in a remote-first environment, with strong communication skills. Benefits: Fully remote, flexible working model with a supportive and collaborative team culture. More ❯

as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong scripting skills in Bash, PowerShell, or similar scripting languages for automation of tasks and ability to write reusable and maintainable code to streamline ML operations Proficient in More ❯

and API designs for ML model deployments. Strong Python skills, particularly in relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Additional experience in GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model explainability is a plus! This is your chance to elevate your career and work on impactful ML projects! If you're excited More ❯

development lifecycle with a strong focus on performance and maintainability. Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such More ❯

of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations Ready to take your career to the next level? Apply today and be part of something extraordinary! Please either apply by clicking More ❯

PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI principles This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data More ❯

AI models like GPT, DALL-E, and Stable Diffusion for real-world applications. • Build advanced ML solutions for classification, recommendations, and more. • Create scalable AI pipelines using tools like MLflow and Apache Spark. • Collaborate with teams to design AI systems for diverse industries. What You’ll Bring: • 4+ years of AI/ML experience, including Databricks expertise. • Proficiency in Python More ❯

occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow or PyTest Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: Great salary - Up to £80,000 base More ❯

occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: · Highly skilled in Python. · Knowledge of AWS or GCP. · Ideally experience of SKLearn/Docker/MLFlow or PyTest · Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: · Great salary - Up to £80,000 base More ❯

occasions. To be a successful, the ideal Machine Learning Engineer candidate will have: · Highly skilled in Python. · Knowledge of AWS or GCP. · Ideally experience of SKLearn/Docker/MLFlow or PyTest · Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: · Great salary - Up to £80,000 base More ❯

or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies More ❯

or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies More ❯

or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies More ❯

modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you More ❯

of delivering models into production environments · Degree in a relevant technical field or equivalent hands-on experience · Excellent written and verbal communication skills · Bonus if you’ve worked with MLflow, GitHub, PyTest, Jira, or HPC systems · Bonus if you have experience under a QMS or with safety-critical software What’s in it for You? · £85,000 depending on experience More ❯

Communication and Problem-Solving: Strong analytical and debugging skills, with the ability to clearly communicate technical decisions and collaborate across disciplines. Experience and skills we'd love: Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision More ❯