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Senior Machine Learning Engineer. Senior Machine Learning Engineer, Pricing. You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work.

Senior Machine Learning Engineer, AI Infrastructure, Autonomy. Senior Machine Learning Engineer, AI Infrastructure, Autonomy.

We work in small teams with high velocity, building multiple AI products such as OdinAI, Graph API, and more.As an AI engineer, you'll work autonomously in a small team, responsible for:.Creating, testing, and implementing AI models.Engaging in data analysis, machine learning, and natural language p

You have strengths in* + Numbers, Data, and Logic### Your Skills* + AI engineer## Co Founder Wanted For Music AI Start Up#### Co Founder Wanted For Music AI Start Up Job description as PDF #J-18808-Ljbffr. Label-In-A-BoxLearn morePrototype·1Team-Members·AI & Machine Learning---### Overview* (Co-)F

In this role, you'll design high-performance systems and shape the technology strategy while mentoring future engineers. A pioneering AI startup in West London is searching for a Senior Software Engineer to lead the development of their innovative machine learning foundation model.

We’re Hiring: Data Scientist / Machine Learning Engineer. Data Scientist / Machine Learning Engineer. Develop predictive systems and machine learning algorithms.

We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. Where off-the-shelf tools fall short, you’ll build custom s

Faculty is the professional challenge of a lifetime. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. At Faculty, we transform organisational perfor

A leading AI research firm seeks a Technical Lead, Research Engineer to drive AI for Chip Design initiatives.You will leverage advanced machine learning technologies to tackle complex challenges affecting the chip design industry.The ideal candidate will have a Ph.Computer Science or related field,

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus Join Our Data & Analytics Team: Transforming Data into Our Superpower! Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers and driving school! If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues and shareholders. #LI-Hybrid This is the job At The AA, our purpose is to create confidence for drivers now and for the future. Data plays a critical role in delivering that purpose, and we are investing heavily in a modern, Databricks-centric data platform to unlock the full value of our connected car and insurance data. This role is for an experienced Databricks Data Engineer. You will be working day-to-day designing, building and operating production-grade Databricks Lakehouse solutions, including structured streaming pipelines, Unity Catalog governance, and Spark-based data engineering at scale. This is not a role for someone who has “touched” Databricks occasionally or supported it at the edges. We are looking for someone who has built, owned and evolved Databricks solutions, and who can confidently articulate design decisions, trade-offs, and best practice. If Databricks is central to how you work and can demonstrate this natural, we want to hear from you. What will I be doing? • Designing, building and operating production-grade Databricks Lakehouse solutions , including structured streaming pipelines using Python and PySpark, • Owning and evolving Unity Catalog–based governance , ensuring secure, discoverable and well-managed data assets, • Developing and maintaining event-driven data pipelines , integrating closely with backend engineering teams, • Implementing and supporting CI/CD pipelines in Azure DevOps to enable reliable, automated Databricks deployments, • Creating high-quality, analytics-ready datasets that deliver actionable business insight at scale Essential experience • Significant, hands-on experience with Azure Databricks in a production environment, • Proven experience building Spark / Databricks pipelines using Python and PySpark, • Strong experience with structured streaming and event-driven architectures, • Practical experience implementing and operating Unity Catalog, • Solid understanding of Lakehouse design principles, including dimensional and analytical modelling, • Experience building and maintaining CI/CD pipelines, ideally using Azure DevOps You have: • Designed and built Databricks pipelines end-to-end, • Made architectural decisions within Databricks environments, • Worked with Spark internals, optimisation techniques and cluster configuration, • 25 days annual leave plus bank holidays + holiday buying scheme, • Worksave pension scheme with up to 7% employer contribution, • Free AA breakdown membership from Day 1 plus 50% discount for family and friends, • Discounts on AA products including car and home insurance, • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more, • Company funded life assurance, • Diverse learning and development opportunities to support you to progress in your career We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change. #LI-HH

Job description We are currently recruiting for an AI Security Senior Architect to join our London office. DEPARTMENT PURPOSE The Information Security team is a strategic enabler for our global law firm, focused on protecting client data, intellectual property, and business operations while enabling secure innovation. Through four key pillars Digital Trust, Technical Assurance, Security Operations, and Governance, Risk and Compliance (GRC) the team delivers comprehensive security solutions that align with our firms strategic objectives as well as client and regulatory requirements. Our integrated approach combines secure by design principles relying on Identity and Access Management, Technical Assurance, continuous monitoring and incident response through Security Operations, and proactive risk management through GRC. Working closely with the Markets Innovation Group (MIG) and Fuse, the firms legal tech incubator, we ensure emerging technologies, and our innovative generative AI-powered tool are implemented securely while maintaining the confidentiality, integrity and availability of our systems and data. This collaborative model allows us to stay ahead of evolving threats while supporting the firms digital transformation initiatives and maintaining the trust of our clients and stakeholders. ROLE PURPOSE The AI Security Senior Architect will be part of the Digital Trust team and will be responsible for architecting, maintaining and implementing the security of the Artificial Intelligence ecosystem in the organization. The position will be accountable for the security of the firms flagship AI product ContractMatrix, as well as the security of the individual AI workloads. This role is critical in translating the organisations Digital Trust vision into a workable, mature and optimized function and service. This role requires extensive experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable and customer-oriented function. The ideal candidate will excel at Microsoft Entra ID technologies, Microsoft Azure, workload identities, managed accounts, machine identity management, and translation of identified requirements into practical identity architecture and design. ROLE & RESPONSIBILITIES IAM Strategy and Architecture for Artificial Intelligence Leverage extensive knowledge and experience across all IAM disciplines to design, implement and continuously improve the portions of the organisational IAM architecture relating to AI workload identities. Work with firms strategic technology partners in evaluating concepts to secure AI workloads, working towards the selection of the platform and architecture for securing them in the future. Influence and evaluate the decisions on the wider IAM components: directory, identity, privileged access, entitlements management to accommodate AI workloads into a coherent identity Configure and maintain technologies that support the IAM function and AI security such as Active Directory, Entra ID Privileged Identity, Privileged Access, and Governance; Conditional Access Policies (for AI IDs); CyberArk, Palo Altos XSIAM and XSOAR platforms. Design and transition AI IAM service components into operation operational manuals, support patterns, standard changes, request management. AI Contract Matrix Security Governance Risk and Change Management Work alongside ContractMatrix product team to ensure that the solutions are designed securely from an access management perspective. Ensure adherence to the AI governance. Integrate security into the SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption, and access controls to prevent unauthorized use or tampering. Provide training and guidance to development teams on AI security risks and mitigations. Work on internal and external audits and implement findings against ISO27001 and ISO42001 security standards. Collaborate with Client Audit, GRC and product teams in responding to client audit requests as they relate to AI use at the firm. Perform detailed security analysis of application architectures to provide assurance. Understand threat modelling and participate in major incidents responses with IAM and AI components. Review and approve the IAM components of solution designs. Collaborate with cloud infrastructure teams to implement IAM and AI security design patterns. Ensure AI security controls are appropriately implemented in our environment and align with NIST and CIS benchmarks. Validate effectiveness of implemented security controls through technical analysis. Perform residual IAM risk assessments and document acceptance/rejection rationale. Scope and manage AI security testing including penetration tests and Red Teaming as well as remediation activities. Work closely with wider Information Security team to ensure compliance, assurance, risk management, monitoring, and other operational requirements related to IAM and AI are met. Ensure the IAM service follows and complies with IT and Information Security policies and regulatory standards. Work closely with relevant vendors to ensure optimised use of the supplied technologies and professional services. Serve as an escalation point for issues of non-compliance related to AI security, PAM, IAM and IGA policies and processes. Leadership & Team Development Provide leadership and structured mentorship to identity and access management staff and AI platform teams and supporting their technical development. Oversee the design and management of the on-call support structure, ensuring appropriate coverage, escalation paths, and minimal disruption to business operations. Influence key senior stakeholders in adopting best practices for secure AI use in the firm. KEY REQUIREMENTS Essential Minimum of 10 years experience in working with Microsoft identity products, namely Active Directory and Entra ID. Minimum of 7 years experience working in architecture or information security, with at least 4 years focused on identity and access management. Current Azure certifications (e.g., Azure Security Engineer Associate). Strong knowledge of security and compliance standards and frameworks, such as ISO42001, ISO27001, MS CAF, and WAF. Excellent communication, leadership, and interpersonal skills, with the ability to collaborate across teams and with external parties such as MSSP. Ability to work effectively in a fast-paced, dynamic environment. A genuine passion for continuous learning and development in cybersecurity, staying up to date with the latest developments, trends, and technologies in the field. High level of personal integrity and ethics, demonstrating an appropriate level of judgement, handling any potentially high-pressure situations in a manner which upholds the highest ethical standards. Desirable Bachelor's degree in Information Security, Computer Science, or a related field. Additional relevant security certifications e.g. CISSP, SABSA, TOGAF. Legal or professional services experience is highly desirable. Knowledge of additional cloud platforms e.g. AWS, GCP. Experience with zero trust architecture implementation and least privilege principles. Background in application security and secure SDLC practices. Should you require additional support at any stage of the recruitment process due to a disability or a health condition, please do not hesitate to contact a member of our recruitment team who will work with you to provide any adjustments as required. We are an equal opportunities recruiter and do not discriminate on the basis of race, colour, sex, religion, sexual orientation, national origin, disability, or any other protected characteristic. We recognise that our people are our most valuable asset, which is reflected in the wide range of benefits that are available to our employees. Some of these benefits include: our occupational pension scheme, group income protection cover, private medical insurance, mental health resources and free apps, health and wellbeing services encompassing an onsite gym, wellbeing centre and GP service, emergency back-up care support, parental and special leave, holiday entitlement increasing with length of service, holiday trading, season ticket loans and online discounts and lifestyle management services. TPBN1_UKTJ

Parental: Generous parental leave policy. Machine Learning Engineer, Open-Source Software - Paris/London. Machine Learning Engineer, Open-Source Software - Paris/London.

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world.

You will be a key member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety critical self-driving features of our category defining vehicles. Publishing internal technical guidance and mentoring engineers across autonomy ML. Deep underst

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions). Develop, train, and optimise computer vision models for real world a

Annual Wellness and Learning Budget — Funds for fitness, mental health, and learning needs. We are Ravelin, a fraud detection company using machine learning and network analysis technology to solve big problems. We are looking for a Senior Machine Learning Engineer to join our Detection team.

In your role as Senior Research (Machine Learning) Engineer, you’ll be at the heart of our mission to make advanced machine learning design tools easy for everyone to use. Partnering with Research Scientists on research in multimodal generative AI, translating theory into practical applications. D

Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. Can collaborate with other engineers to understand and solve challenges. Have strong Python and engine

As a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. If you are passionate about machine learning, deep learning, and AI-driven

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. FactSet (NYSE:FDS | NA

A leading technology company is seeking an experienced machine learning engineer for a hybrid role.The role involves applying cutting-edge machine learning algorithms to tackle complex networking challenges.Ideal candidates should have a master's or PhD in relevant fields, strong fluency in Python,

A leading analytics software company is looking for a Machine Learning Engineer to work in Hounslow, England.This role involves engaging in AI, NLP, and Data Visualization projects for large corporations.The ideal candidate will hold a strong STEM degree and possess experience in Machine Learning al

Several years of experience in machine learning engineering or applied ML roles. Machine Learning Engineer – AI Team (Global Digital). As we continue to bring to life award-winning venues and experiences our EMEA Practice is looking for a Machine Learning Engineer – AI Team (Global Digital) base

A tech company in London seeks a Machine Learning Engineer to join their team.The role involves identifying value-creating opportunities for machine learning, collaborating with product and design stakeholders, and working on deploying ML solutions.Ideal candidates should have 3-5 years of applied e

Get notified about new Machine Learning Engineer jobs in. Proven track record as a Machine Learning Scientist delivering models into production. Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes.

As a Staff Machine Learning Engineer, you’ll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Market’s most ambitious AI products. Staff Machine Learning Engineer at Compare the Market.

A leading luxury retailer in London is seeking a Machine Learning Engineer to join their Data Science team.The role involves managing machine learning infrastructure, optimizing models, and collaborating with data scientists.The ideal candidate has a strong software engineering background and profic

You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave. Strong background in deep learning and transformer architectures. Strong software engineering skills — writing robust, producti

This hands-on role involves mentoring engineers, overseeing complex projects, and shaping technical strategies. A leading AI solutions provider in the UK is seeking a Principal Machine Learning Engineer to lead the development of innovative AI solutions. The ideal candidate will have over 5 years of

We’re spread throughout the UK and Europe, and united by our drive to get things done. Lead Machine Learning Engineer. Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work.

Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team. Contribute to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team. Master’s degree in co

A leading media company in the United Kingdom is looking for a highly skilled Lead Machine Learning Engineer. The ideal candidate has strong expertise in the machine learning lifecycle and advanced skills in Python and ML frameworks.

A luxury department store is seeking a Machine Learning Engineer to join their in-house Data Science team in London.

As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. Oversee the transition to a real-time streaming architecture for our machine learning applications, ensuring efficient data ingestion, feature engineering, and model serving

We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. Evaluating the latest hardware and software in the machine learning ecosystem. As a member of the Core Technical Machine Learning team, you will be enga

Machine Learning Engineer, you will need to:. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Apply machine learning algorithms and libraries.

Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable. Enthusiasm about using machine learning for science and engineering. Building machine learning models and pipelines in Python, using common libraries and frameworks (e.

EPIC JOB + EPIC BENEFITS = EPIC LIFE. WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment.

As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem.

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. Machine Learning Engineer Job Description. At least two years' experience as a machine learning engineer.

Senior Machine Learning Engineer. The chance to take significant ownership of production Machine Learning in a live system. Long-term role with the opportunity to influence the Machine Learning roadmap and system design.

With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. Deploy, productionise, and monitor machine-learning models across the business. Work alongside data engin

Machine Learning Senior Staff Engineer. Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mento

As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. They combine deep technical expertise with real-world delivery to design, build and deploy machine l

An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. Responsibilities for Machine Learning Research Engineer. DPhil / Computer Science / Mathematics / Phys

This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. Design and optimise novel machine learning architectures for high-dimensional and visual data. Strong background in machine learning algorithm development and