Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI/ More ❯
Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning , A/B testing , and shadow deployments Experience implementing or contributing to MLOps frameworks and scalable deployment patterns More ❯
or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google … skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with Databricks machine learning workflows and automation (e.g., MLflow). Familiarity with containerization technologies such as Docker and Kubernetes. Experience with version control tools (e.g., Git). Knowledge of data visualization tools like Tableau More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Careerwise
or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google … skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with Databricks machine learning workflows and automation (e.g., MLflow). Familiarity with containerization technologies such as Docker and Kubernetes. Experience with version control tools (e.g., Git). Knowledge of data visualization tools like Tableau More ❯
AI/ML development including: Proficiency with production software (Python) and systems design. Machine learning algorithms and model development techniques. ML lifecycle tools like MLflow, dvc, weights & biases. Cloud deployment of ML systems. Professional experience with LLMs and large-scale models. Very strong software engineering skills with a track record More ❯
Learning Engineer or Data Scientist. Solid Python coding skills. Expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow. Knowledge of AI SaaS or GenAI APIs is a bonus. In return, you'll be offered a supportive team culture with flexible, hybrid More ❯
healthcare, biotech, or pharmaceutical space. Strong Python coding skills and expertise with cloud infrastructure (AWS preferred) are essential, as is familiarity with tools like MLflow and Airflow. Additional knowledge of Gen AI APIs or AI SaaS solutions is a plus. Above all, they're seeking someone passionate about harnessing machine More ❯
development and integrating ML models with backend systems. Deep understanding of CI/CD pipelines for ML, including tools like GitLab CI/CD, MLflow, Docker, and ECS. Exposure to ECS, Kubernetes, Terraform, and Infrastructure as Code (IaC). Strong knowledge of cloud security and Identity and Access Management (IAM More ❯
Experience using LLMs or AI tools to structure and extract meaning from unstructured data Experience automating workflows and deploying model pipelines (e.g. Airflow, dbt, MLFlow, or similar) Exposure to business planning, pricing, or commercial decision-making Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're More ❯
The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize More ❯
The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on the Big Four. Currently in stealth mode and gearing up for … SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to data for LLM workflows, unstructured sources, and real-time ingestion ✔ Comfortable operating in an early-stage environment, with More ❯
london, south east england, United Kingdom Hybrid / WFH Options
trg.recruitment
months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on the Big Four. Currently in stealth mode and gearing up for … SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to data for LLM workflows, unstructured sources, and real-time ingestion ✔ Comfortable operating in an early-stage environment, with More ❯
and client base. Key Responsibilities: Architect and implement end-to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow). Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark. Champion the adoption of Lakehouse architecture (bronze/… Unity Catalog. Excellent communication, leadership, and problem-solving skills. Desirable: Databricks certifications (e.g., Data Engineer Associate/Professional or Solutions Architect). Familiarity with MLflow, dbt, and BI tools such as Power BI or Tableau. Exposure to MLOps practices and deploying ML models within Databricks. Experience working within Agile and More ❯
We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing More ❯
???? Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through More ❯
Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If so, we have an exciting new More ❯
Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If More ❯
systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful. The Opportunity More ❯
systems are self-healing, responding gracefully to extreme loads or unexpected input. We use modern languages like Kotlin and Scala, Data technologies Kafka, Spark, MLflow, Kubeflow, VastStorage, StarRocks and agile development practices. Most importantly, we hire great people from around the world and empower them to be successful. The Opportunity More ❯
in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data workflows to ensure data availability and traceability. Strong background in Python, Bash, and scripting to automate model management … support machine learning models. Preferred Qualifications: AWS Certified Machine Learning - Specialty or other relevant certifications. Experience with machine learning deployment frameworks (TensorFlow Serving, Kubeflow, MLflow) and managing containerized workloads with ECS/EKS. Deep understanding of data privacy regulations, model security, and designing solutions that are compliant with industry standards. More ❯
Exciting Opportunity in Health Tech! Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Reporting To: Vice President of Software Development Are you passionate about health tech and innovation? Do you want to be More ❯
UK Public Sector - SC clearance is an advantage Retail/CPG Media Communications, Media Agencies At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us More ❯
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
InterQuest Group (UK) Limited
Senior Data Scientist Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives More ❯