and agile approach to problem solving Developing dashboards in one or more of the following platforms: Power BI (preferred) Experience developing BI solutions using multiple cloud providers Azure, AWS, GCP Highly organized, with exceptional attention to detail and follow-through Ability to manage multiple projects with competing deadlines, working in a fast-paced environment Team player with positive attitude and More ❯
AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure, GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning More ❯
performance optimization techniques, such as Quality of Service (QoS) and traffic shaping. Experience with Cisco, Palo Alto, and F5 network technologies. Experience with cloud-based networking solutions (AWS, Azure, GCP). Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences. Qualifications Bachelor's degree More ❯
and maintain documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation. MINIMUM QUALIFICATIONS/SKILLS Proficiency in Python and SQL. Experience with cloud platforms like AWS, GCP, or Azure, and big data technologies such as Hadoop or Spark. Experience working with relational and NoSQL databases. Strong knowledge of data structures, data modeling, and database schema design. Experience More ❯
Basingstoke, Hampshire, United Kingdom Hybrid / WFH Options
Castle Trust Group
EntraID, File Services, DNS, DHCP, GPO's, PKI etc Comprehensive understanding of M365 and InTune Strong understanding of Private/Public clouds, such as Hyper-V, Azure, AWS and GCP Comfortable with PowerShell scripting Knowledge & experience of vulnerability management tooling such as Qualys Knowledge of networking, TCP/IP, LAN/WAN, VPN, Routers, Switches and Firewalls Desirable Packaging and More ❯
communication Previous experience in aviation, transportation, logistics, or supply chain optimisation. Familiarity with airline planning domains (e.g. aircraft routing, slot planning, scheduling). Exposure to cloud platforms (e.g. Databricks, GCP, AWS and Azure) and version control (e.g. Git). Experience working in Agile product teams or similar collaborative environments. What You'll Get in Return: A dynamic and creative team More ❯
with DBT, cloud data warehouses (e.g. BigQuery), or automated experimentation platforms. Technology Python (incl. pandas, statsmodels, scikit-learn), Jupyter dbt, SQL (BigQuery, PostgreSQL) Tableau or similar BI tools GitHub, GCP, Docker (optional but useful) How we expect you to work ️ Collaboration : We work in cross-functional, autonomous squads where product, engineering, and analytics sit together to solve shared problems. Outcomes More ❯
best practices Technology We're pragmatic about our technology choices. These are some of the things we use at the moment: Python, DBT, Tableau ️ PostgreSQL, BigQuery, MySQL pytest ️ AWS, GCP Docker, Terraform, GitHub, GIT How we expect you to work ️ Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Medialab Group
and version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯
and version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯
colleagues and support teams. Experience working in an Incident Management environment. And any experience of these would be really useful Familiarity with infrastructure, application architecture and cloud monitoring (AWS. GCP, Azure, OCP). About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its More ❯
with other OOP languages a plus experienced in common modelling processes, packages and algorithms capable of developing process, ML Ops, CI/CD and deployment preferably in AWS/GCP/DBX experienced in leading ML projects from concept to production able to producing High levels of storytelling, presentation and communication skills - able to use a variety of data visualisation More ❯
for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience More ❯
areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
areas such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
areas such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
areas such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events More ❯
strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop pragmatic solutions that address clients More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating them into data architecture More ❯
experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with training diffusion, transformer, or generative video models. Proficiency in Python. Experience building and maintaining scalable infrastructure (AWS, GCP, or custom solutions). Familiarity with CI/CD workflows, testing, and development best practices. Ability to mentor junior engineers and work independently. Nice to Have Prior experience in generative More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid / WFH Options
Catalyst
Engineer, you will need: Hands-on experience as a Data Engineer, Senior Data Engineer or Data & AI Engineer with a passion for designing & developing production-ready applications using AWS, GCP or Azure Experience using python and SQL The ability to build AI-driven solutions using large language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based More ❯
approach and roadmap definition, architecture realisation and risk management Comfortable with traditional and contemporary data warehousing concepts Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Comfortable in one or more of Java, Scala, or Python with the ability to be 'hands on'when required We are passionate about developing people - a demonstrated ability in More ❯
the product Contribute to hiring additional talent to our rapidly growing team The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing More ❯