Databricks jobs in Newcastle Upon TyneCreate job alerts

Lead Data Analyst / Data Product Lead - Managing Consultant The OpportunityYou'll lead the delivery of analytical outcomes that enable organisations to realise their strategic vision. Acting as the bridge between business goals, data requirements, and technical implementation, you'll guide multidisciplinary teams and help clients modernise their data platforms, analytical capabilities, and decision-making processes.This role is ideal for someone who thrives in complex environments, enjoys solving ambiguous problems, and is passionate about modern cloud, big data, and analytics technologies. What You'll Do Own and lead analytical delivery within broader data platform or transformation programmes. Guide teams of analysts, data engineers and analytics engineers to deliver end-to-end outcomes-from data workflows to analytical services and reporting assets. Define and uphold standards for requirements, documentation, code quality, version control, and release management. Partner with stakeholders across business and technology to prioritise work, manage expectations, and drive adoption. Run workshops to clarify requirements, map processes, and align teams on analytical definitions and success criteria. Shape and maintain analytical services, ensuring clear "definition of done" for outputs and user stories. Promote best practices in cloud, big data, analytics engineering, and AI-accelerated frameworks. Contribute to proposals, shaping analytics workstreams, estimating effort, and defining delivery approaches. Support the creation of reusable assets such as analytics frameworks, reconciliation packs, and migration playbooks. Act as a role model for consulting behaviours: curiosity, clarity, pragmatism, integrity, and client empathy. About YouYou bring a blend of analytical depth, technical understanding, and strong consulting skills. You can see the bigger picture, navigate ambiguity, and lead teams to deliver high-quality analytical products.Experience & capabilities include: Significant experience leading analytical product delivery in complex, multi-team environments. Proven track record delivering analytical and technical outcomes on modern cloud platforms (e.g., AWS, Azure, Snowflake, Databricks). Strong experience with data migration validation, reconciliation, data controls, and go-live readiness. Ability to mentor analysts and collaborate effectively with engineers and architects. Strong stakeholder engagement skills across business and technical teams. Advanced SQL and Python skills. Solid understanding of data modelling (dimensional; Data Vault familiarity a plus). Strong BI and analytics experience (dashboarding, semantic modelling, storytelling). Familiarity with modern data warehousing, distributed processing, streaming, and DataOps. Comfortable leading iterative delivery using agile principles. Qualifications & ToolsExperience with some of the following is beneficial: SQL/Python, Power BI, Tableau, Qlik, Dataiku, Alteryx AWS, Azure, GCP, Snowflake, Databricks certifications SAFe, Scrum Master or similar agile qualifications Modern data warehousing tools (Fabric, Lake Formation, Snowflake, Databricks) dbt or equivalent transformation tooling Airflow / ADF / Dagster Data governance, cataloguing, lineage tools Agile toolsets such as JIRA, Confluence, DevOps Working Environment Permanent role with flexible working options. Hybrid model: typically 3 days per week in office (Newcastle). Some UK and international travel may be required. Eligibility for security clearance is essential. What's in It for You Competitive salary with bonus potential. Highly collaborative culture with strong values and a people-first mindset. Flexible benefits focused on wellbeing and lifestyle. 25 days' holiday, with the option to flex to 30. Two CSR volunteering days. Award-winning learning and development, including dedicated training time. Personal tech budget for devices and accessories. Rapid progression opportunities in a high-growth environment. Please send me a copy of your CV if you're interested

Analytics Engineer (12 month FTC) Up to £67,000 Remote (UK Based) This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation. THE COMPANY They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing. THE ROLE As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation. Specifically, you can expect to be involved in the following: • Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business., • Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets., • Develop and maintain robust SQL and PySpark transformations within Databricks. The successful Analytics Engineer will have the following skills and experience: • Strong commercial experience as an analytics focused engineer, rather than an analyst., • Advanced data modelling capability, including dimensional modelling., • Strong PySpark and SQL skills in production environments., • Hands on experience with Databricks, including pipelines and governed data environments. The successful Analytics Engineer will receive the following benefits: • Salary up to £67,000 - depending on experience. Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead Data Analyst - Hybrid - Permanent Role Overview Lead the delivery of end-to-end analytics solutions across data platforms and transformation programmes. You will manage cross-functional teams, engage stakeholders, and ensure high-quality analytical outputs that drive business value. Key Responsibilities * Own and deliver the analytics roadmap within broader data programmes. * Lead teams of analysts, data engineers, and analytics engineers to deliver data workflows, platforms, and reporting solutions. * Define standards for requirements, documentation, code quality, and release management. * Partner with stakeholders to prioritise work, run workshops, and drive adoption. * Ensure quality through validation, reconciliation, and clear "definition of done." * Contribute to pre-sales, proposals, and development of reusable analytics assets. Required Experience * Experience leading analytics delivery in complex environments (3+ years). * Proven delivery on modern data platforms (cloud DWH, lakehouse, BI modernisation). * Strong stakeholder management and team leadership experience. * Experience with data validation, controls, and go-live readiness. Core Skills * Advanced SQL and Python * Strong data modelling (dimensional; Data Vault a plus) * BI & analytics (Power BI, Tableau, Looker) * Agile delivery (Scrum/SAFe) * Strong communication and problem-solving skills Technical Stack * Snowflake, Databricks, Fabric (or similar) * dbt, CI/CD, version control * Airflow, ADF, Dagster * Power BI, Tableau, Looker * JIRA, Confluence, DevOps Qualifications * Relevant degree or equivalent experience * Cloud or analytics certifications preferred * Agile certifications desirable To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Data Engineer (Defence - hiring mid to senior levels | 2yrs+) Newcastle (on-site) £50,000-£100,000 + bonus Defence Tech Start-up Data Engineer (Defence Tech) A growing defence-tech consultancy is seeking Data Engineers of various levels and disciplines to build robust, scalable data platforms for defence clients. They are deliberately setting a very high bar, hiring engineers from top universities who are among the strongest technically in their field. The work is very problem-solving focused, small teams tackling complex systems, often working on completely new challenges every few months. You'll genuinely be working alongside some of the best engineers/teams in the country, solving problems no one else has before. They’re hiring for, and value, people who: • Enjoy working on challenging systems, • Truly understand problem-solving principles, • Enjoy variety, • Are adaptable and articulate Data Engineer Role The successful candidate will design and maintain data pipelines and systems that support analytics and operational use cases. Data Engineer Responsibilities include: • Building data pipelines and data-intensive applications, • Developing in Python and SQL, • Working with distributed systems (e.g. Spark, Databricks), • Managing data orchestration (e.g. Airflow), • Ensuring data quality, reliability, and performance Data Engineer Requirements • Strong data engineering experience, • Familiarity with cloud platforms (AWS, Azure or GCP), • Experience with modern data tooling and frameworks Additional Criteria • STEM Degree from a leading university (2:1 or above), • Eligibility for UK SC-level security clearance, • Experience in defence or highly regulated environments is advantageous, but not required

Our talented Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest AI and data technologies, let's talk. Take your skills to a new level and launch a career where you can truly do what matters. As an Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and services that make transformative change and deliver high value business outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction using Agentic AI, automation, AI engineering, data platforms, reporting and self-serve analytics.. Avanade is the 7 times Databricks global partner of the year, we deliver over 4000 Microsoft data platform projects annually and deliver more Azure Databricks than any other Databricks partner. Key Responsibilities: • As an architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts., • Play a key role in Avanade's sales process by creating solutions that innovate, inspire and are win new business. You’ll have responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business., • As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization., • Have the ability to translate complex technical concepts and solutions and present them in easy to understand language and value based outcomes, to senior business stakeholders, technology leaders and internal sales teams., • Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationship with clients to become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers., • Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support go to market activities., • Lead the development of intelligent data platform projects, building strategic capabilities for our clients. Integrating data from many systems, transforming through lakehouse architectures and making available for reporting, AI and conversational analytics. Requirements for the role - • Awareness of channels to market and how to work in a Databricks and Microsoft eco-system to ensure Customer Success., • High energy intent to help clients understand the fast moving data industry, product and service evolution., • Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest data & AI concepts particularly focused on scaling data use across enterprises., • Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives., • In-depth understanding of modern Data & AI capabilities such as; structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields., • Comfortable actively engaging and leading sales and business development opportunities with clients., • Hold Databricks certifications, ideally the Databricks Champion or be able to demonstrate equivalent knowledge and experience. About Avanade - Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes? A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases, • Work with structured data and unstructured clinical datasets, • Partner with stakeholders to design and deliver end-to-end solutions, • Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways) Key Details • Salary: £80,000 - £130,000, • Working model: On-site 3+ days/week with healthcare clients across England, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

Partnering closely with Data Engineers. Designing and building curated datasets using dimensional and semantic modelling techniques. Translating business requirements into clear, well-documented data models.

Lead Data Engineer (Python Databricks SQL) to £150k. Do you have a first class education combined with Data Engineering skills?. You could be progressing your career as a Lead Data Engineer at a start-up Investment Management firm that have secure backing, an established Hedge Fu

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team thats leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, were transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, youll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. Youll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure’s success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

You will define principles and build systems within the Azure and Databricks ecosystem to drive advanced analytics, AI, and data governance.

A leading UK food company is seeking a Senior Azure Data Platform Engineer to join its growing Data Platform team in Newcastle upon Tyne. The successful candidate will be responsible for overseeing data ingestion and quality through Azure technologies, including Data Factory and Databricks. The role

A leading insurance provider in Newcastle is seeking a data scientist to create and maintain predictive models.The ideal candidate will have experience with Microsoft Fabric or Databricks and work on large datasets.Responsibilities include applying data science techniques to drive improvement in dec

This position focuses on designing scalable, high-security AWS environments, overseeing API management and ensuring system reliability.

Can demonstrate advanced knowledge of cloud services, preferably the broader Fabric or Databricks suite of products; or Azure Data Lake, Azure Data Factory, Azure Logic Apps, Azure Function Apps, alongside a skillset incorporating data modelling techniques and business data requirement comprehension

Senior Data Engineer- Spark & Databricks Optimisation- Up to £55K. Databricks (but AWS, Azure or GCP.

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 and AI accessible to everyone. Drive New Logo Motion: Execute the high-velocity "Hunter DNA"—obsessing over

Data Engineer (SQL Databricks Python) opportunity. Data Engineer (SQL Databricks Python) to £120k. You have experience with Databricks, ideally also Azure.

A leading energy trading company in Greater London is seeking a skilled PowerBI + Databricks Engineer to functional design and develop applications.

Good working knowledge of AWS, Databricks, and Python. Develop workflows and ELT pipelines using Python and Databricks.

Working with our partners, you will help our customers achieve tangible, data‑driven outcomes through the Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise ecosystem. Provide partners with the level of enablement they need to a

A leading consulting firm is seeking a Senior Azure Data Engineer to design and develop scalable data solutions on the Databricks platform.

The ideal candidate should have a solid foundation in data engineering and strong SQL skills, preferably with experience in Databricks or Snowflake.

A leading technology firm seeks a Lead Data Engineer to drive the adoption of Databricks and build a modern Lakehouse architecture. Ideal candidates have over 5 years in data engineering, strong AWS and Databricks experience, and excellent Python and SQL skills.

The successful candidate will have strong skills in Databricks, SQL, Spark, and Python to deliver efficient data solutions.

The role involves driving the migration of enterprise data platforms from Palantir Foundry to Databricks, optimizing architectures, and ensuring data integrity. Ideal candidates will possess advanced Databricks expertise, proven migration experience, and strong skills in PySpark and SQL.

Contribute to Databricks' technical community engagement by developing customer‑facing collateral and leading workshops, seminars, and meet‑ups. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Del

Strong proficiency in Python, SQL, FastAPI, and Databricks is required.

It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Data

At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers’ stakeh

The role focuses on Data Platform solutions, particularly with Databricks.

This mid-senior level position requires experience with Databricks, SQL, Python, and PySpark.

Join a forward-thinking technology consultancy that champions innovation and collaboration.This exciting opportunity involves developing scalable data pipelines, utilizing cutting-edge technologies like AWS and Python, and working closely with cross-functional teams to drive data solutions.As part o

A leading data and AI company is seeking an exceptional Enterprise Account Executive to drive success in the Defence sector.This role involves building relationships with major Defence contractors and managing complex accounts.The ideal candidate will have strong experience in big data, cloud, and s

A leading cloud solutions provider seeks a Solutions Architect to enhance product adoption and engagement across various client sectors.With a focus on transactional database expertise and technical credibility, the successful candidate will collaborate with account teams to implement strategies ali

Databricks Consultant / Databricks Engineering Architect. We are looking for an experienced Data Engineering Architect / Consultant with strong Databricks expertise to support a private equity–backed international organisation in shaping the early-stage architecture of a federated data platform. D

We are looking for an experienced Databricks Lead Engineer and Architect to join and support the Delta Lake and Delta Table re‑engineering projects. Industry experience with Databricks.

A leading data and AI company based in London is seeking a Technical Advisor to engage with senior stakeholders in the startup ecosystem.This role involves building relationships with CTOs and VPs of Engineering while driving awareness of the company's offerings.The ideal candidate has over 10 years

An innovative technology firm seeks a Data Engineer to design and enhance cloud data platforms using Azure Data Services and Databricks.

This role focuses on building scalable and secure data platforms for Defence clients using Azure, Databricks, and Apache Spark.

A leading recruitment agency is looking for a Senior Azure Databricks Data Engineer specializing in energy and commodities trading. The ideal candidate will have strong Python skills, familiarity with Azure, and experience with tools like Snowflake and Databricks.

More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe a

DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Based on your understanding, you will recommend solutions that leverage Databricks or native

A leading data and AI company in London is seeking a professional with strong technical pre-sales expertise.The ideal candidate will develop customer engagement strategies, influence stakeholders on data analytics solutions, and coach junior team members.Applicants should have hands-on experience in