Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
trust approach, enforcing least-privilege access principles, and assuming breach to limit risk. Comfortable with creating and/or maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong More ❯
clients and colleagues with high-quality and reusable data. Our Data Layer Team focuses on creating scalable data solutions and advancing our data infrastructure that are the foundation of AI products that will drive informed decision-making across the company. As the Data Layer Connectors & Ingestion Delivery Owner, you will oversee data engineering practices, data connectors, integrations, while driving continuous … strategy. You will ensure reliable data infrastructure with a focus on Security, Compliance, Operational Excellence, and customer satisfaction. The platforms you lead will enable and accelerate BCG's Gen AI/AI ambitions! Among your responsibilities, you will: Technical Leadership & Strategic Roadmap Own and oversee the end-to-end engineering of data pipelines and data connectors, supporting patterns for data … ingestion, file-based, and API-based integrations. Lead the strategy and architecture for activating structured, unstructured data and proprietary data that will power AI products. Champion best practices for orchestrating multi-cloud environments (AWS, Azure, GCP) to enhance platform performance, scalability, and cost efficiency. Implement robust security, observability, monitoring frameworks, and data governance to ensure data reliability, minimize downtime, and More ❯
KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions … learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯
About the Role We are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain. Your mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams. About our Data & ML team Data … AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business … within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we're expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase More ❯
KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing … AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries More ❯
CLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and … maintainable C# code. The new system will coexist with the legacy platform during the transition, requiring careful integration and support for business-as-usual BAU operations. We are leveraging AI tools to accelerate and enhance the migration process, and we’re looking for developers who are excited by the opportunity to work at the intersection of legacy systems, modern development … and AI-assisted engineering. Key Responsibilities - Collaborate with the existing team to re-engineer Oracle PLSQL stored procedures into C# services. - Design and implement .NET-based components that integrate with both legacy PHP systems and new PostgreSQL databases. - Work closely with business analysts and stakeholders to ensure functional parity and identify opportunities for enhancement. - Participate in the design of a More ❯
CLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and … maintainable C# code. The new system will coexist with the legacy platform during the transition, requiring careful integration and support for business-as-usual BAU operations. We are leveraging AI tools to accelerate and enhance the migration process, and we’re looking for developers who are excited by the opportunity to work at the intersection of legacy systems, modern development … and AI-assisted engineering. Key Responsibilities - Collaborate with the existing team to re-engineer Oracle PLSQL stored procedures into C# services. - Design and implement .NET-based components that integrate with both legacy PHP systems and new PostgreSQL databases. - Work closely with business analysts and stakeholders to ensure functional parity and identify opportunities for enhancement. - Participate in the design of a More ❯
position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯
position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯
ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and … life-long learning, and driving business value through ML [Preferred] Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and More ❯
ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and … Apache Spark to process large-scale distributed datasets As a client-facing role, travel may be necessary to support meetings and engagements. About Databricks Databricks is the data and AI company. 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 More ❯
modelsIndustrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to integrate diverse predictors (physics-based, AI-based, hybrid) into the platform Ensure reproducibility, traceability, and performance of model pipelines across the full lifecycle Develop APIs and tools that expose predictors as scalable services to other teams … fast-moving environment where models meet production Why Join Us At Aqemia, engineers don't just build software, they help discover real drugs.You'll work at the intersection of AI, physics and chemistry, transforming bold scientific ideas into robust, production-grade tools that accelerate discovery. DeepTech Mission : Build the platform that powers AI-driven drug discovery, combining quantum-inspired physics … remote days/week Strategic Traction : Backed by $100M in funding and a $140M partnership with Sanofi Join us if you're excited to shape the future of AI-driven drug discovery, and want your code to change the course of real diseases. #J-18808-Ljbffr More ❯
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization More ❯
innovation. Key Responsibilities: Engineering Strategy & Technical Leadership Own the technical execution of the product roadmap in partnership with the CPO. Develop and scale core legal technology platforms, APIs, and AI-powered experiences. Establish and evolve architectural standards, design patterns, and system resiliency. Evaluate and integrate agentic platforms and frameworks to enable dynamic, autonomous user experiences. Lead the implementation of our … cutting edge Legal Technology MorAI solutions. Collaborate with product teams to embed AI/ML into key features such as search, summarization, content recommendation, and automation. Drive platform extensibility, scalability, and security for enterprise legal environments. Leverage agentic frameworks to create adaptive and context-aware features that enhance legal workflows. Execution & Delivery Champion agile engineering practices across cross-functional squads. … engineering capacity, prioritization, sprint planning, and release cycles in collaboration with product and design. Grow, mentor, and lead a world-class engineering team across frontend, backend, DevOps, QA, and AI/ML functions. Foster a culture of ownership, continuous improvement, and engineering excellence. Implement effective hiring, onboarding, and growth programs for a high-performing, inclusive engineering culture. Lead and support More ❯
Board Intelligence is a technology and advisory firm that supercharges boards with the science of board effectiveness. We build better businesses and benefit society. Through a suite of AI-powered software tools, evaluation frameworks, and advisory services that distil twenty years of boardroom experience, we improve the efficiency of board processes and the effectiveness of boards. We work with More ❯
The BI/Data Science graduate will join our Data Analytics department to work on enhancing our Business Intelligence platform, our specialised data applications, and take active part in business process digitalisation initiatives. This is an excellent opportunity for a recent graduate to gain hands-on experience with enterprise-level Data & BI systems while contributing to high-impact projects … process automation and digitalisation. This role offers exposure to the full data lifecycle from extraction and transformation through to visualization and stakeholder presentation, with opportunities to leverage cutting-edge AI technologies. This is a 1 year FTC paying a salary of £35,000 - ideally September start. Requirements: Academic Background: Computer Science/Data Science/Mathematics Degree or similar. SQL … and best practices. Experience with relational databases and data modelling concepts. Understanding of machine learning concepts and libraries (scikit-learn, pandas). Experience with LLM frameworks & APIs (OpenAI, Mistral AI, Hugging Face, Ollama, etc ). 25 days of holiday Bonus Pension contribution Private medical, dental, and vision coverage Life assurance Critical illness cover Wellness contribution program with access to ClassPass More ❯
specific technologies are just tools for tackling problems. The Company Sightline Climate accelerates the deployment of climate tech solutions through industry leading data, analytics, and research. Sightline's subscription intelligence platform gives investors, corporates, and governments the insights they need to confidently build and finance the new climate economy. Sightline Climate also produces CTVC , the industry-leading newsletter read … our core product in November 2023 and it has gone from success to success. We are now looking to develop it further by adding even more innovative tools and AI-enabled solutions that empower Sightline clients to make informed decisions in the climate tech space. The Team Our engineering team consists of a mixture of back-end, front-end and … A Plus Experience using Django, AWS, React and dbt Experience working with Linear/Agile framework Experience using Github Actions Working understanding of climate tech sectors Experience in using AI to extract data from PDFs Application process Video call with hiring manager (20min) Short take-home exercise In-person/video pair session with team (120min) In-person/video More ❯
believe specific technologies are just tools for tackling problems. The Company Sightline Climate accelerates the deployment of climate tech solutions through industry leading data, analytics, and research. Sightlines subscription intelligence platform gives investors, corporates, and governments the insights they need to confidently build and finance the new climate economy. Sightline Climate also produces CTVC , the industry-leading newsletter read … our core product in November 2023 and it has gone from success to success. We are now looking to develop it further by adding even more innovative tools and AI-enabled solutions that empower Sightline clients to make informed decisions in the climate tech space. The Team Our engineering team consists of a mixture of back-end, front-end and … A Plus Experience using Django, AWS, React and dbt Experience working with Linear/Agile framework Experience using Github Actions Working understanding of climate tech sectors Experience in using AI to extract data from PDFs Application process Video call with hiring manager (20min) Short take-home exercise In-person/video pair session with team (120min) In-person/video More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
XPERT-CAREER LTD
our dynamic team in London . You will play a critical role in developing and optimizing backend systems, working with modern data technologies, and contributing to high-performance and AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or … deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous … automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture Knowledge of orchestration tools like Apache Airflow More ❯
Salary banding: £90,000 - £110,000 dependent on experience Working pattern: 1-2 days per week in office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team … contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess. … Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
on technical role where you'll work closely with the Lead Data Architect and collaborate across the business to design, build, and support scalable data infrastructure that powers business intelligence, reporting, and analytics. The ideal candidate will be eager to grow their skills and take ownership of impactful data projects within a fast-paced, modern tech environment. Key Responsibilities … Engineer Associate) Background in consulting or professional services Understanding of data governance and data security principles Nice to Have: Knowledge of DevOps, Fetch XML, or related tooling Awareness of AI products and how they intersect with data workflows Familiarity with the recruitment or staffing industry Robert Half Ltd acts as an employment business for temporary positions and an employment agency More ❯
define and execute our long-term ML strategy. Youll influence the development of Monzos ML capabilities across diverse areas, from automating support experiences to optimizing operational efficiency, and pioneering AI-driven products that improve customer outcomes. Beyond technical execution, you will mentor and guide the next generation of ML talent at Monzo, elevating the standard of ML expertise across the … and architectural patterns for ML across the organization. Collaborate with Engineering, Product, and Leadership teams to integrate ML-driven solutions into core business processes. Advocate for and implement responsible AI practices, ensuring fairness, robustness, and transparency in our models. Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation. Engage with the broader ML … the development and adoption of reusable ML modelling patterns, architectures, or infra across large organizations. You have experience developing state-of-the-art deep learning models, LLMs, and advanced AI architectures . You are an industry expert in ML model development, deployment, and MLOps at scale . You are deeply comfortable with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch More ❯
and maintainable solutions. Champion engineering best practices, including early-stage quality planning (Shift Left), design patterns, automated testing, and CI/CD implementation. Evaluate and introduce emerging technologies (e.g., AI-assisted coding, cross-platform frameworks) to improve productivity and product innovation. Application Development & Delivery Lead the development of complex WPF-based applications following modern design patterns such as MVVM, leveraging … Leads to ensure product and engineering goals remain aligned. Help recruit, onboard, and develop top-tier engineers, growing a high-performance team. Innovation & Continuous Improvement Advocate for and implement AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to boost engineering velocity and quality. Identify and implement opportunities to automate workflows, reduce technical debt, and drive continuous delivery excellence. Drive … design patterns, and principles like SOLID and TDD. Proficient with Visual Studio and/or JetBrains Rider, and skilled in using ReSharper for code quality and refactoring. Familiarity with AI-assisted tools like GitHub Copilot and Claude Code. Skilled with relational databases (e.g., PostgreSQL) and CI/CD pipelines using modern DevOps toolchains. Demonstrated leadership and mentoring skills with the More ❯
enterprise technology with CFO priorities, driving financial transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Key Responsibilities Finance Systems Strategy (70%) Define target architectures for core finance functions (ERP, EPM, Treasury). Lead ERP/… experience. 8+ years in strategy, business analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies More ❯
