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Job Description Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Platform Engineer at JPMorgan Chase within the platform team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world Job responsibilities • Develops secure high-quality production code, and reviews and debugs code written by others, • Develops composable infrastructure systems and capabilities, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Provides operational support of production systems within a you-build-it-you-run-it culture, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, • Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s), such as Go, Java or Kotlin, • Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, • Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc., • Expertise in the Kubernetes operator pattern, • Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent #ICBCareer #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Job Description As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team, you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust, intelligent validation frameworks and infrastructure that power our ML and data products. You will architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems, collaborating with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. Job responsibilities • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure., • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices., • Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage., • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack., • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components., • Build reusable components that support scalability, modularity, and self-service quality tooling., • Mentor junior engineers and influence technical standards across the Test Engineering Program. Required qualifications, capabilities, and skills • Formal training or certification on Computer Science concepts and proficient advanced experience., • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering., • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries., • Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools., • Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch)., • Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure., • Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred qualifications, capabilities and skills • Exposure to machine learning workflows, model lifecycle management, or data engineering platforms., • Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks)., • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development., • Knowledge of platform security, monitoring, and resilient architecture patterns. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorgan Chase within Investment Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Transaction Development is a centralised hub that generates buyer intelligence on Mid-Cap sponsors for JPM sell-sides, by leveraging deep knowledge of Sponsor investment strategies. In order to execute at scale, a newly created technology team is embarking on a multi-year journey to provide enhanced digital capabilities to enable Transaction Development to take full advantage of the deep client relationships we have across GB and scaling proprietary idea generation Job responsibilities • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity, equity, inclusion, and respect, • Build and maintain scalable data pipelines for batch and near real-time processing, • Formal training or certification on software engineering concepts and proficient advanced experience in Data Engineering such as Python and SQL, • Hands-on practical experience in system design, application development, testing, and operational stability, • Proficient in coding in one or more languages, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Practical cloud native experience, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Strong Knowledge in Python and SQL, • Understanding of ETL best practices, data portioning and schema evolution, • Experience with AWS cloud services (e.g. EC2, S3, IAM, Cloudwatch), • Experience with Infrastructure as code (e.g. Terraform) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer (Angular) at JPMorgan Chase within the Corporate Sector - Data Center Services team, you would be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities: • Implements creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems., • Develops secure high-quality production code and collaborates with team members to ensure code quality and consistency., • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems., • Leads evaluation sessions with internal and external teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture., • Participate in communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies., • Formal training or certification on system design concepts and proficient applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability., • Advanced knowledge in frontend development with Angular., • In-depth knowledge in state management leveraging NGRX., • Skilled in designing and executing functional and integration tests for Angular applications., • Experience in all aspects of the Software Development Life Cycle., • Experience in mock-up designs using tools such as Figma., • Understanding of agile ceremonies such as Scrum, stand-ups, retrospectives, and sprint planning, fostering effective team collaboration and continuous improvement., • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)., • Understanding of Event Driven Architecture (Kafka)., • Experience with AI/ML automation. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

AI Engineer - Data Science Hybrid | London, England | Engineering Overview The Explore Group are partnered with one of our Tier 1 clients to secure AI Engineers with strong data science expertise who are eager to develop and deliver innovative AI solutions for large scale organisations. This role requires a combination of technical skills and business understanding, working with advanced AI technologies to create impactful data driven applications. Responsibilities • Partner with enterprise clients to understand requirements and design tailored AI and data science solutions, • Apply statistical modelling, machine learning, and programming expertise to solve complex problems, • Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools, • Deliver production ready solutions that integrate into existing client environments, • Engage with stakeholders at different levels, translating technical approaches into clear business outcomes, • Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements • Strong background in data science and machine learning with solid understanding of statistics and programming, • Exposure to MLOps and experience deploying models into production environments, • Interest and practical experience in using emerging AI technologies such as co pilots, agentic frameworks, and generative AI applications, • Proven ability to manage client expectations and deliver high quality solutions in a collaborative environment, • Excellent communication skills with the ability to present technical concepts to both technical and non technical audiences Benefits We offer a supportive and flexible work environment with a comprehensive benefits package including: • 25 days of annual leave plus bank holidays, • Share options and pension scheme, • Health and dental insurance options, • Professional learning and development budget, • Cycle to work scheme and technology allowance, • Referral bonus scheme, • Opportunities to work abroad for limited periods, • Regular team socials and office perks

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Senior Platform Engineer Location: London (hybrid, 3 days onsite) Salary: Up to £64,000 + Bonus Clearance Requirement: Candidates must be eligible for UK DV clearance We are seeking an experienced Senior Platform Engineer to join a high-impact team delivering mission-critical projects. You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: • 5+ years experience in platform engineering, • Programming in one or more languages: JavaScript, Java, .Net, Python, • Experience mentoring, coaching or managing others in the team, • Designing and building Proof of Concept and Production systems collaboratively, • Source control (e.g. Git, Mercurial, Perforce), • CI/CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket), • Automated testing frameworks and static code analysis tools (e.g. SonarQube), • Agile methodologies (Scrum, Kanban, Lean) Desirable Skills • Cloud platforms: AWS, Azure, • Containerisation: Docker, Kubernetes, • Machine Learning frameworks (AWS/Azure ML, TensorFlow), • Relational, document, or graph databases, • Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and rewarding environment, apply now.

Mechanical (HVAC) Design Engineer – Where Decarbonisation meets machine learning. Interested in using machine learning and AI to accelerate decarbonisation within the built environment? Want to work for a firm that rewards you when you do well, and isn’t afraid to try new things? As a recognised leader in decarbonisation projects for blue-chip clients, this Mechanical Contractor continues to set new standards. With around 140 employees across the UK, they provide a true turn-key solution. Everything is delivered in-house, including design, installation, project management, commissioning, and maintenance, ensuring they have full control of quality and certainty of cost in every project. The result? A team that consistently delivers projects on scope, budget, and time, and rewards its employees with three separate bonus payments every year. You'll join a motivated, supportive, and forward-thinking team that's setting new standards in energy efficiency and sustainable design. Due to planned growth, they are now looking for a client-facing Mechanical (HVAC) Design Engineer for their London office. Someone with at least three years of experience in HVAC design and a keen interest in decarbonisation, automation, and AI. Someone with experience in energy efficiency within existing buildings, and a good understanding of controls, heat pumps, and heat recovery systems. You’ll design innovative heating and cooling solutions for major tech, media, leisure, and industrial clients across London and the Southeast. Benefits • Tax-free annual bonus (£3,600), • Ongoing training and development, • 25 days leave, • Hybrid working, two days a week from home, • Option of working from abroad for up to one week at a time., • Uncapped profit share, • Individual bonus (in addition to the profit share described above), • Direct access to the company founder, directors, and other key stakeholders., • Matched pension to 4%, • Payment of 1 x Professional Membership. This is a rare opportunity to combine your HVAC design experience with a passion for AI and machine learning, to help accelerate decarbonization across the built environment. Perfect for someone who thrives on delivering practical solutions and wants to help shape the future of building services through innovation and impact. For more information, please call/email: 07595 071 303/ (3659)

This role will be central to enabling data science teams to deliver high-quality, production-ready machine learning solutions. Senior MLOps Engineer Location: London hybrid Salary: £80K - £90K Data Idols are working with a fast-growing organisation to hire a Senior MLOps Engineer. Yo

Contract Role: Machine Learning Engineer – Biotech & Genomics.Competitive, based on experienceWe’re working with a group of biotech innovators focused on solving some of the most complex challenges in life sciences — from protein folding and genomic analysis to biomedical imaging and drug

You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business. As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from research through to produc

Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Proven ability to design, test, and deploy production-ready machine learning soluti.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

As an AI Research Engineer you'll blend research, engineering and product work to build intelligent agents that leverage large language models (LLMs) and multimodal data. AI Research Engineer (LLM Python) London / WFH to £95k. Do you have experience with Machine Learning, AI research and Python eng

Role: Azure AI DevOps Engineer.Benefits: Healthcare and great holidays.As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector.Using Azur

Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Proven ability to design, test, and deploy production-ready machine learning so.

Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs). You will work with software engineers to set up modern machine learning pipelines ensuring high operational standards. If youd like to make a differen

This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Theyre now looking for their first ML Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting

Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using. Design and implement machine learning models for classification, regressi

Reference Code: 313568-en_GBContract Type: PermanentProfessional Communities: Data & AI Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking a skilled and motivated Data Engineer with proven experience in the banking and financial services domain . The ideal candidate will have strong expertise in Python, PySpark, and SQL , and a working knowledge of AWS cloud services . You will be responsible for designing, building, and maintaining scalable data pipelines and solutions that support critical business operations and analytics. • Design, develop, and optimize data pipelines for structured and unstructured data., • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements., • Implement data quality checks, validation, and monitoring processes., • Work with large-scale financial datasets to support reporting, analytics, and regulatory compliance., • Develop and maintain ETL workflows using Python, PySpark, and SQL., • Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build cloud-native data solutions., • Ensure data security and compliance with financial regulations and standards., • Troubleshoot and resolve data-related issues in production environments., • Bachelor's or Master’s degree in Computer Science, Engineering, or related field., • 5+ years of experience in data engineering roles, preferably in banking or financial services., • Strong programming skills in Python and PySpark ., • Advanced proficiency in SQL for data manipulation and querying., • Experience with AWS cloud services is a strong plus., • Familiarity with data warehousing concepts and tools., • Understanding of financial data structures, compliance, and reporting requirements., • Excellent problem-solving and communication skills., • Experience with tools like Apache Airflow, Kafka, or Snowflake., • Knowledge of data governance and metadata management., • Exposure to machine learning pipelines or financial modeling is a bonus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Get The Future You Want |

Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Experience with RLHF or reinforcement learning in LLMs.

Get AI-powered advice on this job and more exclusive features. This range is provided by Ventula Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Ventula Consulting My client is building the future of voice AI in telecoms and are looking for an exceptional AI/ML Engineer to join them as part of the founding team. The company is backed by a number of industry leading Global enterprises who have joined forces to build cutting edge technology together. This is your chance to shape and help scale a brand-new venture at the cutting edge of telecommunications and artificial intelligence . You’ll be the technical owner of their AI stack , integrating and optimizing world-class models from providers like OpenAI, Google, Anthropic, Deepgram, ElevenLabs, and more. Own the AI Pipeline : From STT → LLM → TTS, you’ll build, test, and optimize the voice AI stack. Integrate Leading Models : Leverage APIs from top providers across Speech-to-Text, Text-to-Speech, Voice Cloning, and Large Language Models. Benchmark + Optimize : Curate “golden datasets” to evaluate model accuracy, latency, and cost for real-world telecom use cases. Enhance Personalization : Develop AI features for emotional intelligence, cultural nuances, and regional accents. Collaborate Cross-Functionally : Work side-by-side with architects, backend engineers, telco experts, and product managers. Candidates should have experience in some of the following areas: Strong hands-on experience integrating AI/ML APIs into production systems Strong Python skills + comfort with data science libraries (Pandas, NumPy, etc.) Experience with voice-related AI (STT, TTS, or Voice AI) Deep understanding of latency vs accuracy vs cost trade-offs Familiar with prompt engineering and RAG techniques Background in microservices, APIs, and cloud-based deployments Experience with MLOps tools and monitoring platforms (e.g., DataDog, Arize) Any experience in the following areas is a nice to have: Experience with Voice LMMs (like GPT-4o, Nova Sonic) Previous work in telecommunications or real-time speech systems Familiarity with voice cloning , multilingual models , or PEFT techniques Knowledge of privacy and security protocols for voice data Master’s degree in ML, AI, or a related field This is a career defining role and an opportunity to create something truly special. It is based in London with offices near Barbican and 3 days a week on-site on average. Salaries are flexible to attract the best talent Globally. Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Telecommunications, Information Services, and Technology, Information and Media Referrals increase your chances of interviewing at Ventula Consulting by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. London, England, United Kingdom 1 week ago Uxbridge, England, United Kingdom 21 hours ago London, England, United Kingdom 7 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 22 hours ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 2 days ago London, England, United Kingdom 3 days ago Graduate Software Engineer – ML Data Platform Machine Learning Scientist - LLM's, RL, Multi-Agent London, England, United Kingdom 7 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 days ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month ago London, England, United Kingdom 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Classification, Regression, Clustering, Recommendation Systems, etc) Experience in applying machine learning algorithms to solve real-world problems. Senior Machine Learning Engineer Department: Data Science & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Tr

About Sequence Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. The role We’re looking for senior product engineers with strong backend skills to help us build financial tools for modern, fast scaling technology companies. What you'll do: Create a world class product experience. You'll help make the experience of implementing and working with the Sequence product second to none. We believe our billing engine is the most flexible and comprehensive out there, however complex financial processes can be challenging to model and expose in an approachable and intuitive way. You'll help us figure out the best ways to go about this, building a backend for our own product, alongside a first-class API experience for our customers. Guide product direction: We believe that all engineering decisions are product decisions, and vice versa. You'll collaborate with data, product and design to choose what we work on and why, and help build Sequence to be the best product and business it can be Shape our backend architecture. You'll work on some of our most complex technical problems and help others do the same. You'll help choose how we build things and what we prioritise as a product and engineering team. Help our small team have outsized impact . We want to build an early engineering culture that values collaboration, learning and teamwork. You'll play an integral role in shaping our product, culture and ways of working to help us achieve this. This is a great fit if you... Enjoy being hands-on with a focus on writing code and shipping things. We have a long list of things we want to build. Are happy working day-to-day in a backend-focused role using a strongly typed language. Our services are built in Kotlin, though you don't need experience in that language to join us, many of our engineers have done the same and enjoyed the challenge of learning a new set of skills. Want to work as part of a small, multi-disciplinary team and collaborate closely with others. Want to work on something new. The biggest product and company decisions still lie ahead of us. Enjoy the uncertainty and unpredictability that comes with an early stage company. Are happy to learn deeply about our customers, the problems they face, and work with them to figure out solutions This might not be the right role if you… Enjoy larger organisation structures and only staying within your area of expertise. We’re a small team early on the journey and things change quickly as we learn more Want a traditional engineering team set up, with a predictable roadmap, clearly scoped out tickets provided for you, and so on Prefer a slower pace. We're tackling real problems for our customers today, so we need to move quickly. Want all of the benefits that come with an larger, established tech company What we offer: The salary range for this role is £80,000 - £130,000 + share options We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York — whatever you prefer. Our hiring process: The hiring process follows the same general outline for all engineering roles: First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice and you'll work with the engineers to solve some requirements and write a test suite. Product interview (30 mins): Focused on how you approach customer problems, own the solutions, and apply a product mindset. Final interview (30 mins): A final interview with our CEO, Riya. #J-18808-Ljbffr

2 weeks ago Be among the first 25 applicants At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force - they're at the heart of everything we do. We've sold tens of millions of policies so far, and raised over $200 million in funding. And we're only just getting started. About the role We're looking for a Staff Backend Engineer to join Zego as one of our most senior individual contributors. This is a hands-on technical leadership role where you'll drive architectural decisions, set engineering standards, and shape the technical direction of some of our most important systems. You'll operate across multiple squads, collaborating closely with Engineering Managers, Tech Leads, and cross-functional stakeholders. As a Staff Engineer, your influence spans both deep technical execution and broad strategic input- you'll be expected to contribute to business-critical decision-making, guide complex delivery, and mentor engineers across teams. Your primary focus will be Zego's Python-based backend systems, though you'll also support our Machine Learning initiatives and may partner with our Scala and Mobile teams depending on your interests and experience. This is a rare opportunity to play a foundational role in defining what great technical leadership looks like at Zego. What you will be doing Own architecture and technical strategy across multiple squads, making sound, scalable decisions and seeing them through from whiteboard to production. Solve complex technical challenges end-to-end, often building the most critical parts of the system yourself to lead by example. Set the engineering bar for design, implementation, testing, reliability, and scalability across teams. You'll define and champion technical excellence. Collaborate deeply with stakeholders across Product, Data, Strategy, and Business to align on priorities and ensure technical plans support wider business goals. Mentor and coach engineers and tech leads, providing both technical and leadership guidance to help them grow. Act as a multiplier{{:}} bring clarity to ambiguous problems, unblock teams, and help others make sound decisions through deep technical context and crisp communication . Contribute to company-wide technical standards, identifying opportunities to improve processes, practices, and tooling that benefit the entire engineering org . About yo uImpact-orientated{{:}} You focus on business and user value over pure technical output. You care about measurable outcomes and strive to make the biggest difference with your wo rkHands-on Technical Depth{{:}} You have deep experience building scalable distributed systems, ideally in Python or a mix of statically and dynamically typed languages. You write high-quality, production-ready code and have strong instincts around architecture, observability, and system des ignLeadership Without Authority{{:}} You've led technical direction across multiple teams or orgs, driving alignment without needing formal reporting lines. You elevate the work of others through mentoring, feedback, and example-set tingStrategic Partner{{:}} You're as comfortable talking to senior product and business leaders as you are reviewing pull requests. You proactively spot opportunities to improve both what we build and how we bui ld itCurious and Growth-Minded{{:}} You're excited by areas you may not be an expert in yet (e.g. ML systems, mobile integration) and seek to expand your influence by learning and partnering with othersBuilder's Mentality{{:}} You enjoy diving deep into code, systems, and product to understand trade-offs and unblock teams. You're hands-on, pragmatic, and not afraid to shipAI- You will be someone who's actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you're already hands-on or fast building confidence, you take ownership of staying ahead and working s marter What's it like to work a t Zego?Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary t hings.We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins eve ry day.Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever yo u want.You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance m atter.How we workWe believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we're flexible - some people prefer being in once a month or even quarterly. It's all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balanceOur approac h to AIWe believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do i t well.B enefitsWe reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for sta rters!There's more to Zego than just a job - Check out our blog for insights, stories, an d more.We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. About us At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive. That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force - they're at the heart of everything we do. We've sold tens of millions of policies so far, and raised over $200 million in funding. And we're only just getting started. About the role We're looking for a Staff Backend Engineer to join Zego as one of our most senior individual contributors. This is a hands-on technical leadership role where you'll drive architectural decisions, set engineering standards, and shape the technical direction of some of our most important systems. You'll operate across multiple squads, collaborating closely with Engineering Managers, Tech Leads, and cross-functional stakeholders. As a Staff Engineer, your influence spans both deep technical execution and broad strategic input- you'll be expected to contribute to business-critical decision-making, guide complex delivery, and mentor engineers across teams. Your primary focus will be Zego's Python-based backend systems, though you'll also support our Machine Learning initiatives and may partner with our Scala and Mobile teams depending on your interests and experience. This is a rare opportunity to play a foundational role in defining what great technical leadership looks like at Zego. What you will be doing Own architecture and technical strategy across multiple squads, making sound, scalable decisions and seeing them through from whiteboard to production. Solve complex technical challenges end-to-end, often building the most critical parts of the system yourself to lead by example. Set the engineering bar for design, implementation, testing, reliability, and scalability across teams. You'll define and champion technical excellence. Collaborate deeply with stakeholders across Product, Data, Strategy, and Business to align on priorities and ensure technical plans support wider business goals. Mentor and coach engineers and tech leads, providing both technical and leadership guidance to help them grow. Act as a multiplier{{:}} bring clarity to ambiguous problems, unblock teams, and help others make sound decisions through deep technical context and crisp communication . Contribute to company-wide technical standards, identifying opportunities to improve processes, practices, and tooling that benefit the entire engineering org . About yo uImpact-orientated{{:}} You focus on business and user value over pure technical output. You care about measurable outcomes and strive to make the biggest difference with your wo rkHands-on Technical Depth{{:}} You have deep experience building scalable distributed systems, ideally in Python or a mix of statically and dynamically typed languages. You write high-quality, production-ready code and have strong instincts around architecture, observability, and system des ignLeadership Without Authority{{:}} You've led technical direction across multiple teams or orgs, driving alignment without needing formal reporting lines. You elevate the work of others through mentoring, feedback, and example-set tingStrategic Partner{{:}} You're as comfortable talking to senior product and business leaders as you are reviewing pull requests. You proactively spot opportunities to improve both what we build and how we bui ld itCurious and Growth-Minded{{:}} You're excited by areas you may not be an expert in yet (e.g. ML systems, mobile integration) and seek to expand your influence by learning and partnering with othersBuilder's Mentality{{:}} You enjoy diving deep into code, systems, and product to understand trade-offs and unblock teams. You're hands-on, pragmatic, and not afraid to shipAI- You will be someone who's actively curious about how AI can enhance your work - keen to experiment, learn quickly, and apply tools that improve productivity, streamline tasks, or unlock new ways of thinking. Whether you're already hands-on or fast building confidence, you take ownership of staying ahead and working s marter What's it like to work a t Zego?Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary t hings.We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins eve ry day.Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever yo u want.You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance m atter.How we workWe believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we're flexible - some people prefer being in once a month or even quarterly. It's all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balanceOur approac h to AIWe believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do i t well.B enefitsWe reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for sta rters!There's more to Zego than just a job - Check out our blog for insights, stories, an d more.We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries Technology, Information and Internet Referrals increase your chances of interviewing at Zego by 2x Get notified about new Back End Developer jobs in London, England, United Kingdom . 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This range is provided by Vet-AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Vet-AI People Director at Vet-AI| Driving Growth & Innovation in HealthTech | Job Description Location: Remote (UK-based) Who we are: We are Vet-AI, and we are delivering the pet care of the future. Our flagship app, Joii Pet Care was created to make pet care affordable and accessible for all pet owners. Through Joii, pet mums and dads can video call a vet 24/7, use an intelligent pet symptom checker (think NHS 111 but for pets), or seek preventative care through nurse clinics. And yes - it can all be done from the comfort of home - drastically reducing the need for in-person vet trips. Our mission: To make pet care affordable and accessible for everyone. To improve the lives and wellbeing of everyone working within the veterinary industry. Quite simply, we want vet care to be available to everyone, and to ensure the people who are delivering it with us are as happy as they can be. We’re called Joii, after all. Our brand values: Brave; We are not afraid to disrupt the status quo. Championing what’s right for pets and standing confidently behind our purpose. Even when it’s challenged. We have the courage and confidence to tackle things that nobody has done before. We may face hurdles, adversity, and the fear of failure but we have the conviction to keep going. Boundless; We do not constrain ourselves to the expectations of traditional pet care; we’re young, bright and full of fresh ideas. We bring energy and pro-activity to everything we do. We’re problem solvers, with a ‘can do’ outlook. Our boundless attitude brings the joy. Togetherness ; We share an ‘in-it-together’ mindset. We’re one team; we don’t leave anyone to face problems alone when we can help. We champion empathy and compassion; caring about what our customers and our colleagues are going through. Going above and beyond when they need us. We strive for constant collaboration, no matter where we are in the world Role Summary: As a Senior AI Engineer, you’ll design, build, and ship AI features that directly improve pet health outcomes and make veterinary care more accessible. You’ll work across conversational AI, medical image classification, and model deployment — bringing cutting-edge AI to real customers at scale. You’ll collaborate closely with product managers, veterinary experts, and backend engineers to ensure our AI systems are robust, safe, and delightful to use. This role is hands-on — you’ll be writing code, building pipelines, and iterating quickly based on user feedback. Key Responsibilities: Build and integrate AI solutions using LangChain and similar orchestration frameworks for conversational AI. Design and optimise Retrieval-Augmented Generation (RAG) pipelines — including embedding generation, vector database configuration, and retrieval tuning — to improve accuracy, latency, and relevance in conversational AI. Develop and fine-tune custom image models for medical/veterinary classification, including skin lesion detection and gait classification Prompt optimisation of closed source LLMs, or post-training of open-source LLMs to build new or improve existing agentic workflows Design and run evaluation frameworks to measure model safety, accuracy, and performance — including recall, precision, F1-score, and other relevant metrics for both conversational AI and classification models. Set up and maintain MLflow for experiment tracking, model versioning, and performance monitoring across AI projects. Own and improve MLOps pipelines to speed up experimentation, deployment, and monitoring. Ship AI models into live production environments and iterate rapidly based on usage, feedback, and metric-driven insights. Collaborate with cross-functional teams to identify opportunities for AI across the Joii product suite. Write clean, testable, and scalable code in Python and integrate with backend services in Go. Stay up-to-date with the latest AI research and tools, applying them pragmatically to solve real problems. Skills & Experience Required: 4+ years in AI/ML engineering, with experience shipping production models. Experience with LangChain/LangGraph or similar AI orchestration frameworks. Proven experience in designing, implementing, and optimising RAG-based systems, including vector databases (e.g., pgvector, Weaviate, Qdrant, Pinecone). Image model training using frameworks such as Pytorch/Tensorflow Image model deployment & inference using cloud-based tools such as GCP Vertex AI or AWS Sagemaker Proficient in MLflow (or similar tools) for tracking experiments, managing models, and maintaining reproducibility. Strong understanding of conversational AI evaluation — able to run and interpret tests that improve recall, precision, and F1-score, and balance these metrics for optimal customer experience. Knowledge & experience of LLM post-training using SFT & RL using frameworks such as trl Solid understanding of MLOps (CI/CD for models, data pipelines, monitoring, retraining). Experience running evaluation and validation processes for AI models in production. Comfortable with GitHub workflows, Docker, and cloud deployments. Strong communicator, able to explain AI concepts to both technical and non-technical audiences. Thrives in a fast-moving, evolving startup environment. Bonus Skills Experience with multi-modal AI (text, images, video). Cloud-based LLM deployment and inference using frameworks such as vLLM Background in healthcare, veterinary, or other high-trust domains. Understanding of AI safety and ethics in production systems. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Media Referrals increase your chances of interviewing at Vet-AI by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. London, England, United Kingdom 2 days ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 22 hours ago London, England, United Kingdom 4 months ago Software Engineer (Python) - AI Platform London, England, United Kingdom 1 month ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 month ago United Kingdom $100,000.00-$150,000.00 3 months ago London, England, United Kingdom 6 months ago AI Machine Learning Engineer: AI Shopping Agents (Remote) Multiple Data Engineers/Scientists/ML Engineers needed - LONDON London, England, United Kingdom 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Overview We're Kingfisher, A team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in. At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for a Lead Platform Engineer (backend python focus) to join our Group Data Science function, to lead and trailblaze the development and building of software platforms. Working across our retail banners and group functions, you will build platform roadmaps that will minimise time to value, maximise long term effectiveness and ultimately help us achieve our commercial goals. What's the job? Collaborate with Tech, Product and Data teams to develop the engineering platforms that allow us to apply and embed the use of data science directly in our products and processes Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results Support the Data Science Leadership Team in developing a "data culture" and demonstrating the value of data in our decision-making Provide technical leadership and support for the junior members of the team What you'll bring Excellent knowledge and experience in Django and Python backend Excellent understanding of computer science fundamentals and machine learning Proven experience of delivering several high-quality software products and experience of productionisation Proven experience of developing cloud-based services using one or more cloud providers (preferably GCP) Strong management and leadership skills - including the ability to build, organise, motivate, mentor and manage a Platform Engineering team that supports a diverse range of initiatives Sensitivity and excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority Be Customer Focused - constantly improving our customers' experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human - leading with purpose, humanity and care We do the right thing We invest in our people and build great teams Be Curious - thrive on learning, thinking beyond the obvious We focus externally, globally and build the long term We experiment and share our learnings Be Agile - building trust and empowering people to work with agility We act with pace, not perfection, role modelling 80/20 We take risks, fail fast and adapt quickly Be Inclusive - inspiring diverse teams to achieve together We celebrate difference as a strength We collaborate, breaking down silos Be Accountable - owning the plan, delivering results and growth We focus on performance outcomes We prioritise and simplify for others At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Interested? Great, apply now and help us to Power the Possible. #LI-TB1 #J-18808-Ljbffr

AtRetail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Turn Data into Action with Retail Insight. Collaborate Across Teams: Partner with Data Science, Engineering, Operations, and Product to deliver seamless ML solutions.

Snapshot Google DeepMind Developer Experience works at the intersection of Engineering, Product, and Community. We champion developer success by delivering seamless experiences across our GenAI product suite. Through deep collaborations across Google, we empower developers by providing high-quality launch materials, education, technical outreach, and a supportive ecosystem for developers of all backgrounds. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role As a Developer Relations Engineer for Google DeepMind, you will work at the critical intersection of Product, Engineering, Research, and the developer community. You are the trusted voice of the developer inside our organization and the expert technical voice of our organization to the world. Your mission is to champion developer success and drive the adoption of our models and tools. You will actively shape our products and models, multiply the impact of launches, and scale the AI builders ecosystem. This role requires a unique blend of deep technical expertise, developer empathy, and strategic thinking to navigate the evolution of foundational AI technology and developer needs. You will work with a passionate, cross-functional team of engineers, researchers, and product managers who are dedicated to pushing the boundaries of what’s possible with generative AI. If you are excited to shape the developer experience for the world's most advanced AI and build a thriving ecosystem around it, this is your chance to be at the forefront of this technological revolution. Key responsibilities Lead technical go-to-market strategy for new AI models and tools (like Gemini, Veo, Gemma, and Google AI Studio), owning the creation of developer assets (demos, tools, guides) to ensure developer success. Drive the growth of our developer ecosystem by identifying and growing strategic technical partnerships with key frameworks and platforms, leading integration efforts that embed our technology directly into the tools developers use every day. Champion developer education and engagement at scale, representing Google DeepMind as a technical authority at events and creating authoritative content (videos, blogs, workshops) that inspires and enables developers worldwide. Shape the product and research roadmap by translating developer feedback and technical insights into actionable requirements that guide the future of our models and APIs. Act as the "zeroth customer" for our technology, collaborating closely with engineering on early designs and providing critical, hands-on feedback to ensure new features and APIs are not only powerful but also intuitive and ready for real-world application. About you In order to set you up for success as a Developer Relations Engineer at Google DeepMind, we look for the following skills and experience: Ability to produce excellent code samples, clear documentation, and effective how-to materials to enable developer success with technical offerings. Ownership of problems end-to-end and a team player with a collaborative mindset. Bachelor's degree or equivalent practical experience. Coding expertise in Python, Typescript or Javascript 7 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Keras, LLMs), artificial intelligence, deep learning or natural language processing. 5 years of work experience in a technical role (e.g., software engineering, AI engineering, solutions consultant, etc.) or equivalent technical experience. Experience with testing, designing and influencing software launches In addition, the following would be an advantage: Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable 4 years of experience in an external facing role or equivalent experience through community or open source contributions Ability to navigate ambiguity in a fast paced environment Experience with product development lifecycle Ability to develop products and features MVP in Python/REST/JavaScript Application deadline: 12pm GMT Thursday 8th September 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. #J-18808-Ljbffr

Experience in the domain of search, personalization, recommendations and machine learning techniques Commercial experience in a data science role solving high impact business problems Technical leadership - you are able to think about system design and architecture Mentoring senior data scientists E

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Data Platforms team in the Chief Data & Analytics Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills 10+ years of experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Expertise in building distributed systems in Scala and Java Experience in (or be open to) managing small teams Proficient with SQL/No-SQL databases Typelevel Stack (Cats, Http4s) preferred Experience in OpenSearch/ElasticSearch #J-18808-Ljbffr

NEW CONTRACT iOS DEVELOPER ROLE AVAILABLE - REMOTE (UK/EU-BASED) Outside IR35 9-12 Month Initial Contract | Start ASAP | Likely Extension To apply, email: THE OPPORTUNITY A new contract opportunity for a skilled iOS Developer to build and deploy AI-powered fintech mobile apps. You will work on secure, high-quality solutions while integrating machine learning features such as NLP and recommendation systems. THE ROLE Develop and deploy iOS apps (Swift / Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK / REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong expertise in iOS development (Swift / Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into mobile apps Security/compliance awareness (GDPR, OAuth, encryption) Exposure to backend development (Python, Java, .NET) - desirable Familiarity with Azure / AWS cloud integration - desirable Understanding of SQL/NoSQL databases - desirable Experience with CI/CD, Docker, Kubernetes - desirable TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: Contract iOS Developer, Mobile Engineer, AI/ML iOS Integration, FinTech iOS Developer, Swift Developer, Objective-C Developer, Outside IR35, Remote TPBN1_UKTJ

Next-gen diagnostics start-up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Coming in as the Senior Data Engineer, youll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform. Youll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean streaming data off DNA sequencers, integrating with LIMS systems, or improving how they trace results back to original experiments. This is a great opportunity for someone looking to step up into a role with real autonomy, and to shape how data is handled across the company. What experience youll need to apply: 4+ years in a data engineering or similar role, building and maintaining data pipelines Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment Exposure to genomic data formats and tools Exposure to GCP Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Comfortable working across both on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy to make a big impact. The role is mostly remote, with monthly trips to their Bristol lab (travel costs covered). A competitive salary plus a wellbeing budget, generous maternal/parental leave, and flexible hours around a core schedule. Whats next? Apply with your updated CV, and well review your application as soon as possible to set up a call and discuss the role further! For any questions, feel free to ping Tegan an email! Please note, this role is exclusive to ADLIB and any speculative CVs from other recruiters will be forwarded to us. TPBN1_UKTJ

About the Company You'll be joining a global leader in commercial real estate services and investment management. Known for combining deep market expertise with innovative technology, the business is committed to modernising how investment decisions are made. You'll be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology. Role Responsibilities Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance. Build production-ready Python code and integrate models into user-facing applications. Monitor and refine model performance post-deployment, making improvements based on feedback. Collaborate with product and engineering teams to deliver solutions aligned with business goals. Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. TPBN1_UKTJ

Senior ML Cloud Engineer London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first Cloud Infrastructure Engineer, someone who can build out and own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads in production. A self-starter who thrives in a fast-paced, scaling environment. Whats on offer Up to £175,000 salary Significant equity package Direct line into the CTO - huge visibility and impact A chance to be the first Cloud Infrastructure Engineer in the business Join a team thats on the verge of explosive growth Senior ML Cloud Engineer London AI Start-up Up to £175,000 + Shares + Private Healthcare + Pension Please click "APPLY" to be considered for this role! TPBN1_UKTJ

Responsibilities: Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production Implement solutions to monitor the

Apollo Tyres Ltd is an international tyremanufacturer and the leading tyre brand in India. The company has multiplemanufacturing units in India and a unit each in The Netherlands and Hungary.The company markets its products under its two global brands - Apollo and Vredestein,and its products are available in over 100 countries through a vast network ofbranded, exclusive and multi-product outlets. Job Title : Machine Learning Engineer Location : Amsterdam or London Reports to (Position) : Divisional Head - AI/ML Engineering Department/Function : AI Innovation Purpose of the Job : The AI Innovation Department is seeking for a Machine Learning (ML) Engineer to join our global AI/ML Engineering team. We are looking for candidates who have solid commercial software product development experience including MLOps and CI/CD. We're excited to work with people who take ownership, thrive on complex challenges, and care deeply about delivering impactful, production-ready solutions for our colleagues and customers. ML Engineering is the engine of AI Innovation and you will join agile teams led by serial Enterprise AI / ML innovators to build, deploy and scale end-to-end ML products and services that change the game for Apollo Tyre Ltd's operations across the globe. Major Responsibilities : Design, develop, and deploy scalable machine learning solutions in collaboration with cross-functional teams Own the full ML product lifecycle from experimentation and prototyping to deployment, monitoring, and iteration Translate high-level business problems into technical architectures and ML models that are robust, secure, and scalable Work closely with product users to ensure solutions are usable, relevant, and effective Leverage cloud-native technologies (e.g., AWS) and Infrastructure-as-Code (e.g., Terraform) for repeatable, reliable deployments Apply engineering best practices to ensure high standards of code quality, documentation, testing, and CI/CD Requirements : Computer Science university degree or equivalent Minimum 2 years professional experience at a startup or corporate digital innovation unit as an ML Engineer deploying ML products Strong programming skills (Python preferred) and experience building ML pipelines and services Experience working in cloud-based environments with data/ML services (AWS preferred) Familiarity with MLOps principles and tools for model deployment, monitoring, and scaling Ability to work from ambiguous problem statements to architectural and implementation-level solutions A collaborative mindset and willingness to engage with stakeholders and end users Hands-on experience with AWS services such as SageMaker, Lambda, ECS/Fargate Proficiency with Terraform or other Infrastructure-as-Code frameworks Why join us? A dynamic and innovative environment Colleagues from all over the world A competitive compensation packages Participation in learning & development activities We take pride in our commitment to being an equal opportunity employer, creating a workplace where diversity is celebrated, and talent thrives. It's our belief that every individual brings unique perspectives that contribute to our success. Join us and be a part of an inclusive, dynamic, and innovative environment. Make a significant impact as we 'move' the world forward together. #J-18808-Ljbffr

We are seeking a motivated ML Engineer / Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. Professional experience in data engineering, ML engineering, or a related field. Direct message the job poster from dmg media.

The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Stay current with the latest research in anomaly detection, machine learning, and artificial intelligence, disseminating knowledge across the team. Proven experience wit

Be experienced with every library in our stack from day one - you'll work closely with Ryan and ourengineering team. Collaborate with our engineering team to integrate evaluation insights into our development process. You are familiar with and have worked on related technical systems (evaluation pip

Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Applied AI ML - Senior Associate - Machine Learning Engineer. Senior Machine Learning Engineer, Simulation.

We're looking for a Machine Learning Engineer to join the Generative ML Platform team at Snap Inc!. A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly. Knowledge of mathematics and deep learning foundations.

If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again. Apply now—we can’t wait to meet you. Applied AI, Forward Deployed Machine Learning Engineer - Paris (Internship).

We are looking for an AI engineer to help us build innovative solutions leveraging cutting edge GenAI and Machine Learning technologies. Demonstrable enthusiasm for AI engineering and Machine Learning. Working within our Machine Learning Technology team, you will help build our core AI platform as w

Experience in applying machine learning algorithms to solve real-world problems. Senior Machine Learning Engineer.

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.

We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. We build the low-level SDKs and fundamental technologies used by our game development partners to build PlayStation Games. Our team is dedicated to working on the latest G

Experience in industry machine learning roles as a technical leader or senior engineer. Senior Machine Learning Engineer - up to £135k base plus equity. Senior Machine Learning Engineers at Cleo work on building novel solutions to real-world problems.