Machine learning engineer jobs in London - Page 4Create job alerts

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience -Strong Python Benefits: -Competitive salary -Remote working -25 days annual leave and bank holidays -10% bonus -And more Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Contact me:

Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Senior Lead Software Engineer at JPMorganChase within the Equities Sales and Trading Technology, 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. \n Job responsibilities \n \n • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors \n • Develops secure and high-quality production code, and reviews and debugs code written by others \n • Drives decisions that influence the product design, application functionality, and technical operations and processes \n • Serves as a function-wide subject matter expert in one or more areas of focus \n • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle \n • Influences peers and project decision-makers to consider the use and application of leading-edge technologies \n • Adds to the team culture of diversity, opportunity, inclusion, and respect \n\n Required qualifications, capabilities, and skills \n \n • Formal training or certification on software engineering concepts and 5+ years of applied experience \n • Hands-on practical experience delivering system design, application development, testing, and operational stability \n • Advanced in one or more programming language(s) \n • 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.) \n • Ability to tackle design and functionality problems independently with little to no oversight \n • Practical cloud native experience \n • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field \n\n Preferred qualifications, capabilities, and skills \n \n • Expertise in React 17+ and modern front-end development practices \n • Experience with AG Grid or similar advanced data grid libraries \n • Proven ability to optimize web applications for performance and responsiveness \n • Familiarity with handling high-frequency data updates in UI applications \n • Strong understanding of application profiling and tuning techniques \n • Knowledge of AI integration or cloud technologies, especially AWS \n • Experience working in fast-paced, agile environments within financial services \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n 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. \n As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business 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. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders. \n 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 \n Job responsibilities \n • Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls. \n - Develops secure high-quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices. \n - Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services. \n - Designs, builds, and operates Kubernetes-based platform services; automates developer self-service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy-as-code, and hardening standards. \n - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. \n - Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements. \n - 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. \n - Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading-edge technologies. \n - Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams. \n - Adds to team culture of diversity, equity, inclusion, and respect. \n Required qualifications, capabilities, and skills \n • 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, or equivalent experience. \n - Hands-on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments. \n - Advanced in one or more programming language(s), such as Go, Java or Kotlin. \n - Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams. \n - Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. \n - Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. \n Preferred qualifications, capabilities, and skills \n • Expertise in the Kubernetes operator pattern. \n - Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent. \n - Experience with GitOps workflows. \n #ICBCareer #ICBEngineering \n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n 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. \n As a Platform Engineer at JPMorgan Chase within the Accelerator Business 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. \n 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 \n Job responsibilities \n \n • Develops secure high-quality production code, and reviews and debugs code written by others \n • Develops composable infrastructure systems and capabilities \n • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems \n • Provide operational support for production systems in a "you-build-it-you-run-it" culture, including incident response and continuous reliability improvements. \n • 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 \n • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies \n • Adds to team culture of diversity, equity, inclusion, and respect \n • Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards. \n\n Required qualifications, capabilities, and skills \n \n • 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 \n • Hands-on practical experience delivering system design, application development, testing, and operational stability \n • Advanced in one or more programming language(s), such as Go, Java or Kotlin \n • Advanced understanding of agile methodologies, CI/CD, application resiliency, and security \n • Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. \n • Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure \n\n Preferred qualifications, capabilities, and skills \n \n • Expertise in the Kubernetes operator pattern \n • Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent \n • Experience with GitOps workflows \n\n #ICBCareer #ICBEngineering \n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n JOB PROFILE DESCRIPTION \n Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. \n MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. \n It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. \n MINIMUM (ESSENTIAL) REQUIREMENTS: \n \n • \n A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. \n\n \n • \n Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). \n\n \n • \n Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). \n\n \n • \n Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n\n \n • \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. \n\n \n • \n Understanding of responsible AI principles, model interpretability, and ethical considerations. \n\n \n • \n Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language. \n\n \n • \n We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community. \n\n DESIRABLE: \n \n • \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n \n • \n Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. \n\n \n • \n Contributions to open-source AI projects or research publications. \n\n \n • \n Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. \n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Job Description hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. \n The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. \n This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. \n What you will be doing \n As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. \n Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. \n Key responsibilities span the following areas. \n Engagement Leadership: \n \n • Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. \n\n \n • Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. \n\n \n • Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. \n\n \n • Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. \n\n \n • Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. \n\n \n • Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. \n\n Business Development & Bid Support: \n \n • Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. \n\n \n • Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. \n\n \n • Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow-on engagement. \n\n \n • Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI and solutions engineering services. \n\n Technical Architecture & Delivery: \n \n • Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. \n\n \n • Provide hands-on technical direction where required – reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. \n\n \n • Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof-of-concept thinking to real business impact at scale. \n\n \n • Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. \n\n AI/ML Specialism \n You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: \n Agentic AI & LLM Engineering: \n \n • Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. \n\n \n • Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. \n\n Machine Learning Engineering: \n \n • End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n\n \n • Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Platform & Cloud Engineering: \n \n • Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD. \n\n \n • Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. \n\n Software Engineering: \n \n • Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. \n\n \n • Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies. \n\n \n • Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. \n\n \n • A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. \n \n\n Your Skills and Experience \n We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion. \n \n • 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes. \n\n \n • Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. \n\n \n • SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains. \n\n \n • Proven ability to build and lead high-performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. \n\n \n • Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility. \n\n \n • Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). \n\n \n • Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. \n\n If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people-first culture that values both technical rigour and human connection we would love to hear from you.

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they’re at it again with brand new product launches this year. \n We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. \n There’s a lot to do, from building and integrating new API’s to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. \n We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. \n There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here. \n Our Tech Stack \n Backend \n \n • \n Kotlin 1.7.20 \n • \n AWS \n • \n GraphQL (it would be nice if you were familiar with this but it’s not a deal breaker) \n • \n Postgres \n • \n RabbitMQ \n • \n Docker \n • \n Kubernetes \n\n Frontend \n \n • \n React & React Native, TypeScript, MobX, Redux, Stylus and SASS \n\n Other \n \n • \n We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature \n • \n We use JUnit Jupiter, Kotest and TestContainers for automated testing \n\n What technical skills you’ll need to have \n \n • \n Strong commercial Kotlin experience \n • \n An ability to write simple, clean code \n • \n Experience and understanding of databases; relational databases are a must, NoSql would be nice too \n • \n Be able to quickly understand complex, financial business domains \n • \n Understand different software architectures rapidly \n • \n Understands abstraction and interpolation \n • \n Able to write comprehensive, automated tests at all levels of the pyramid \n • \n Understanding of the Kanban agile methodology; not a deal breaker if you don’t \n\n What kind of person you’ll need to be \n \n • \n Someone who can get along with others and build relationships \n • \n Someone who wants to continually learn, improve and collaborate \n • \n Someone who can solve problems on their own but also knows when to go to their peers for help \n • \n Someone who is a rational thinker and is aware of the ‘why’ behind the way they do things \n • \n Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery \n\n Interview process \n \n • \n A 30 minute introductory call with one of our engineers \n • \n A short coding exercise to complete in your own time \n • \n Onsite or Video Interview lasting 60-90 minutes, comprising of:\n\n, • \n Introduction of the team and kind of work you could be doing daily \n • \n Discussion around the coding exercise you completed \n • \n Interactive architecture/design exercise \n • \n Tech project walkthrough \n • \n Cultural/behavioural questions to see if you’d be a good fit for Lendable \n • \n Questions you may have about the company, role, etc \n \n\n Check out our blog \n We also have an engineering blog where we have written in more detail how we work in the engineering team. \n Life at Lendable \n \n • \n The opportunity to scale up one of the world’s most successful fintech companies \n • \n Best-in-class compensation including equity \n • \n You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas \n • \n Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday \n • \n Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds \n\n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n \n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. \n • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. \n • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. \n • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. \n • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. \n • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. \n • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. \n • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. \n • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. \n\n Required Qualifications, Capabilities, and Skills: \n \n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field. \n • Experience building and deploying agentic AI applications in production environments. \n • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. \n • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. \n • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. \n • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. \n • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. \n • Familiarity with cloud platforms and containerization technologies. \n • Strong problem-solving skills and ability to work independently and collaboratively. \n • Effective communication skills for technical and non-technical audiences. \n\n Preferred Qualifications, Capabilities, and Skills: \n \n • Experience in financial services, especially investment banking operations. \n • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. \n • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. \n • Experience with distributed computing, data sharding, and performance optimization. \n • Hands-on experience with AWS services related to AI deployment and workflow orchestration. \n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n 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. \n 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 \n 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 hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n 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. \n \n • 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 \n • 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 \n • Support the Data Science Leadership Team in developing a “data culture” and demonstrating the value of data in our decision-making \n • Provide technical leadership and support for the junior members of the team \n\n \n • Excellent knowledge and experience in Django and Python backend \n • Excellent understanding of computer science fundamentals and machine learning \n • Proven experience of delivering several high-quality software products and experience of productionisation \n • Proven experience of developing cloud-based services using one or more cloud providers (preferably GCP) \n • 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 \n • Sensitivity and excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority \n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

Job Description hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role \n We are looking for a passionate Senior Data Engineer II to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n Lead the development of a reliable, real-time view of our liquidity for multiple products. \n Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \n Interested? Find out more: \n \n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n \n • \n Starting salary: £111k - £145k + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Job Description hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Team you will be working with: Receive Risk \n The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. \n Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce, and more — we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors. \n What will you be working on? \n We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What do you need? \n \n • \n Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. \n • \n Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability. \n • \n Strong product-oriented mindset, with end-to-enpd ownership of features and close collaboration across teams. \n • \n Proficiency in Java (preferred) or solid experience with similar backend programming languages. \n • \n Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL). \n • \n Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. \n\n Nice to Have: \n \n • \n Understanding of basic machine learning concepts and experience building data pipelines. \n • \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find out more: \n \n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n \n • \n Starting salary: £87,000 - £111,000 + RSU \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Job Description hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: \n Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. \n How we work: \n The Account Integrity Team \n The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. \n What will you be working on? \n This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: \n \n • \n Building and refining critical controls to protect Wise customers accounts from account takeovers. \n • \n Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend \n • \n You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. \n\n What do you need? \n \n • \n Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. \n • \n System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. \n • \n Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. \n • \n Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. \n • \n Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. \n • \n Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). \n\n Nice to Have: \n \n • \n Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). \n\n Interested? Find out more: \n \n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n \n • \n Starting salary: £87,500 - 111,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a Lead Python Engineer to join our Data Team, where you’ll play a pivotal role in shaping the systems and data infrastructure that power our US products. \n In this role you’ll balance hands-on engineering with team leadership — owning the technical direction of your squad, mentoring a small team of 1–2 engineers, and still getting deep into the code yourself. You’ll design and build robust data pipelines, APIs and services that drive real decisions across the business, all while keeping quality and scalability at the forefront. \n You’ll be a key voice in architectural discussions, helping to define how we build and evolve our data platform as we scale into the US market. No two days look the same here. \n We’re building something great, and we’re looking for the right people to grow with us. If that sounds like you, we can’t wait to hear from you. \n Our Tech Stack \n Our stack is built on Python and FastAPI, deployed via Docker and Kubernetes on AWS, with ArgoCD handling our continuous delivery pipeline. \n What we’re looking for \n \n • \n Interest in leading or mentoring a small team of engineers, with the ability to balance hands-on delivery with team development \n • \n Deep, modern Python expertise; you write clean, idiomatic, well-tested code and hold others to the same standard \n • \n Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services \n • \n Solid understanding of FastAPI or a comparable modern Python web framework \n • \n Strong automated testing skills across unit, integration, and functional levels \n • \n Experience working with cloud infrastructure, ideally AWS, and comfortable with Docker and Kubernetes \n • \n Ability to drive technical decisions and communicate clearly with both engineers and non-technical stakeholders \n • \n Experience in a cross-functional or data-focused engineering environment is a strong plus \n • \n Familiarity with US financial products or regulated markets is a bonus, but not essential \n\n Interview process \n \n • \n A quick phone call with one of the team \n • \n A short coding exercise to complete in your own time \n • \n Technical Video Interview for 60 mins – meet the team you’ll work with daily \n • \n Culture interview for 30 mins \n • \n Final Interview \n\n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business. \n You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. \n The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. \n You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business. \n What you'll be doing \n \n • \n Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. \n • \n Championing standards and contributing to the improvement of our analytics engineering culture. \n • \n Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines \n • \n Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. \n\n Our modern data stack \n You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. \n What we're looking for \n We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth. \n More specifically, we’re looking for: \n \n • \n Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability. \n • \n Strong experience with ELT pipelines and transformation at scale, ideally using dbt. \n • \n Experience with Snowflake or another modern cloud data warehouse. \n • \n Proactiveness in raising areas of data workflows that could be improved and suggesting solutions. \n • \n A collaborative working style and clear communication across technical and non-technical stakeholders. \n • \n Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows \n\n Interview process \n \n • \n Initial call with an engineer \n • \n 15 minute Cognitive Assessment \n • \n Onsite or Video Interview lasting 90 minutes, comprising of:\n\n, • \n Introduction of the team and kind of work you could be doing daily \n • \n Interactive architecture/design exercise \n • \n Questions you may have about the company, role, etc. \n \n • \n A 60 minute chat with this role's primary stakeholders\n\n, • \n Cultural/behavioural questions \n • \n Product mindset and ability to collaborate and communicate \n \n\n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n \n • Design and deliver enterprise-grade machine learning systems \n • Collaborate with cloud and SRE teams to build robust production architectures \n • Translate scientific research into scalable ML solutions \n • Develop and deploy business-critical, data-intensive applications \n • Implement distributed, multi-threaded, and scalable applications \n • Build, test, and deploy automated pipelines for ML solutions \n • Leverage foundational libraries and services for re-use across teams \n • Apply best practices in software engineering and computer science \n • Utilize MLOps tools for versioning, reproducibility, and observability \n • Align ML problem definitions with business objectives \n • Mentor and support team members, with optional management responsibilities \n\n Required Qualifications, Capabilities, and Skills: \n \n • Experience in machine learning engineering roles \n • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics) \n • Proven ability to develop and deploy business-critical, data-intensive applications \n • Extensive experience with AWS and Kubernetes \n • Proficiency with lower-level libraries such as PyTorch and NumPy \n • Hands-on experience implementing distributed, multi-threaded, and scalable applications \n • Experience with automated building, testing, and deployment pipelines \n • Familiarity with higher-level interfaces like Pydantic AI and Langraph \n • Strong understanding of computer science fundamentals and development best practices \n • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability \n • Ability to understand business objectives and align ML problem definitions \n\n Preferred Qualifications, Capabilities, and Skills: \n \n • Experience mentoring or leading teams \n • Knowledge of agentic AI concepts \n • Experience designing reusable libraries and services \n • Interest in bridging scientific theory and enterprise-grade systems \n • Passion for innovation and continuous learning \n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n \n Our Solutions and AI Lab Team are looking for an experienced Senior Full Stack Software Engineer to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, cloud and managed solutions. \n What you will be doing \n You will be using your experience to help build and maintain internal and client solutions. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. \n Although we do not expect you to be an expert in all of the below activities at the same time, our team consists of people who can both work as advisors to our clients as well as being able to bring deep technical knowledge when needed. The profile of our typical engagements is a reflection of that. \n Web Applications: \n \n • Render web applications on both client-side and server-side to ensure robust management of headers and adherence to security policies \n\n \n • Utilise modern frameworks such as Next.js and libraries like React \n\n \n • Write comprehensive unit tests and apply testing tools including Jest and Cypress to ensure code quality and reliability \n\n APIs: \n \n • End-to-end deliver fully functional CRUD APIs, from local development through to cloud deployment and production readiness \n\n \n • Define detailed production specifications and promote industry best practices \n\n \n • Maintain APIs and effectively resolve any arising issues \n\n Processing Logic: \n \n • Manage event-driven communication patterns and efficiently handle request processing \n\n \n • Identify potential loops and edge cases, and manage dead-letter queues (DLQs) for robust error handling \n\n Databases: \n \n • Design database schemas for both relational and NoSQL systems \n\n \n • Execute schema and data/table migrations to support evolving application requirements. \n\n Releases: \n \n • Manage the release and versioning of software and related packages across various environments, including production. \n\n \n • Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation. \n\n \n Your Skills and Experience \n We're seeking passionate, talented, professional full-stack and software engineers who are eager to shape the next generation of AI and Machine Learning solutions platforms for our clients. Building on the core responsibilities outlined in “What you will be doing,” you will join a dynamic team working at the intersection of cutting-edge technology and practical innovation. \n \n • 3–5 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms. \n\n \n • Proficiency in JavaScript and Python, with a proven track record of delivering high-quality, maintainable code and leveraging both languages to solve complex technical challenges. \n\n \n • Full-stack expertise, comfortable working across front-end frameworks (such as React or Next.js) and back-end services, seamlessly integrating user interfaces with robust server-side functionality. \n\n \n • A strong interest in AI and Machine Learning, and experience building or integrating intelligent features into applications—whether through custom development or by leveraging cloud-based AI/ML services. \n\n \n • Exposure to modern software development practices including CI/CD pipelines, cloud platforms and Infrastructure as Code. You are confident applying these practices to build scalable, secure, and reliable solutions. \n\n \n • Collaborative mindset, able to work closely with consultants, data scientists, and business stakeholders to understand requirements and translate them into innovative, impactful solutions for our clients. \n\n \n • Continuous learner—you are always exploring the latest frameworks, tools, and methodologies in software engineering and AI, and are keen to bring fresh ideas to the table. \n • Clear communicator—able to articulate technical concepts to both technical and non-technical audiences, and willing to mentor junior team members. \n\n Join us \n All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. \n Job responsibilities: \n \n • Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. \n • Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. \n • Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. \n • Apply context and prompt engineering techniques to improve prompt-based model performance. \n • Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. \n • Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. \n • Write secure, high-quality production code and conduct code reviews. \n • Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. \n • Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. \n • Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. \n\n Required qualifications, capabilities, and skills: \n \n • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. \n • Experience in machine learning engineering. \n • Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. \n • Hands-on experience in system design, application development, testing, and operational stability. \n\n Preferred qualifications, capabilities, and skills: \n \n • Strategic thinker with the ability to drive technical vision for business impact. \n • Demonstrated leadership working with engineers, data scientists, and ML practitioners. \n • Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) \n • Experience with AWS and infrastructure-as-code tools such as Terraform. \n • Experience in multi-agent orchestration. \n • Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. \n • Experience with agentic telemetry and evaluation services. \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n We're looking for a Junior Analytics Engineer to join the analytical foundation for our US Cards team, the fastest-developing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to help improve how data is structured, transformed, and consumed across the company. \n The role is fundamentally about contributing to a strong analytical foundation: helping teams move from question to insight quickly, while improving data quality, scalability, and maintainability. \n You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack. \n What you'll be doing \n \n • \n Contributing to the data models that support credit decisions, origination, portfolio analysis, and investor reporting. \n • \n Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders. \n • \n Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively. \n • \n Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. \n • \n Supporting the scaling of our data infrastructure as the business grows. \n\n Our modern data stack \n You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. \n What we're looking for \n We're looking for someone with solid analytics engineering fundamentals - or the drive to develop them - and the curiosity to apply them in a fast-moving environment. \n More specifically, we’re looking for: \n Essential: \n \n • \n Solid SQL skills and a willingness to keep improving them. \n • \n Some hands-on experience with dbt or ELT pipelines. \n • \n A collaborative working style and clear communication across technical and non-technical stakeholders. \n • \n A growing understanding of data modelling and how analytical datasets should be structured for reliability and usability. \n • \n Comfort using AI tools to move faster and improve the quality of your work. \n\n Desirable: \n \n • \n Experience with Snowflake or another modern cloud data warehouse. \n • \n An interest in learning from and eventually supporting analysts through shared patterns and good practices. \n • \n Fintech or scale-up experience \n\n Interview process \n \n • \n Initial call \n • \n Take Home Task \n • \n Technical Interview \n • \n Culture Interview \n\n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Role Overview \n As the Head of Complaints, you will hold a pivotal leadership position reporting to the Director of Complaints, Fraud and Financial Crime. You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. \n This is more than a management role; it is a mandate to build a high-performance environment that balances rigorous FCA regulatory compliance with the innovative, technology-driven agility of a leading fintech unicorn. You will be responsible for resolving complex issues, identifying systemic root causes, and fostering a culture of continuous learning and improvement to deliver exceptional customer outcomes. \n Key ResponsibilitiesStrategic Leadership & Team Development \n \n • \n Lead the Complaints Department: Set the strategic direction and objectives for the team, ensuring quality is maintained across all service lines. \n • \n Foster Growth Culture: Identify and develop future leaders through coaching and support, ensuring promotion is limited only by ability and ambition. \n • \n Drive Performance: Oversee a high-performance team with a relentless focus on productivity, efficiency, and consistency. \n • \n Stakeholder Management: Build and manage strategic partnerships across the business and champion the function at key meetings, including the Risk Committee. \n\n Operational Excellence & Innovation \n \n • \n Process Redesign: Continually review and optimise complaints processes to ensure they remain scalable and offer the best possible customer journey. \n • \n Root Cause Analysis (RCA): Lead all aspects of Root Cause and Remediation activity resulting from complaints to identify systemic failures and drive long-term business improvements. \n • \n Data-Driven Insights: Confidently interpret performance data and reporting to highlight areas for change and realise cost efficiencies. \n • \n Technology Integration: Leverage in-house technology, machine learning, and AI to automate heavy lifting and enhance resolution speed. \n\n Governance, Risk & Compliance \n \n • \n Regulatory Liaison: Act as the primary relationship holder with the Financial Ombudsman Service (FOS) and ensure all reporting to the FOS or the FCA meets DISP requirements. \n • \n Policy Ownership: Continuously redesign and re-engineer procedures to adapt to product growth and customer demand, ensuring full adherence to FCA regulations. \n • \n Conduct Risk: Proactively identify, monitor, and control conduct risk to prevent customer detriment. \n • \n Reporting: Take full responsibility for complaints data accuracy and reporting to the regulator and white-label partners. \n • \n Risk Mitigation: Ensure any identified risks are mitigated, actions are owned and delivered to plan, and drive accountability to promote a well-controlled function. \n\n Required Qualifications \n \n • \n Extensive Leadership Experience: Significant experience leading teams within the financial services sector. \n • \n Regulatory Expertise: Practical knowledge of FCA regulatory requirements and DISP rules. \n • \n Strategic Influence: Proven ability to manage and influence key influencers and decision-makers. \n • \n Communication Skills: Strong communication skills, both written and verbal. \n • \n Fast-Paced Delivery: A track record of prioritising and delivering in a fast-moving, high-growth environment. \n • \n Hands-on Approach: A self-starter who is willing to dive into the details of the team's work. \n\n Preferred Qualifications \n \n • \n Industry Specifics: Experience working in the motor industry or handling automotive finance complaints is highly desirable. \n • \n Fintech Background: Previous experience in a "unicorn" or rapidly scaling fintech environment. \n • \n Technical Literacy: Fluency in modern digital tools and an interest in AI-driven operational solutions. \n\n Interview Process \n 1) 30 minute call with a member of the Talent Team \n 2) 15 minute Cognitive Assessment \n 3) 45 minute Case Study Interview \n 4) 60 minute Onsite Interview with the Director of Complaints, Fraud and FinCrime \n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n \n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n \n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n We're looking for a Junior Analytics Engineer to join the analytical foundation for our US Cards team, the fastest-developing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to help improve how data is structured, transformed, and consumed across the company. \n The role is fundamentally about contributing to a strong analytical foundation: helping teams move from question to insight quickly, while improving data quality, scalability, and maintainability. \n You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack. \n What you'll be doing \n \n • \n Contributing to the data models that support credit decisions, origination, portfolio analysis, and investor reporting. \n • \n Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders. \n • \n Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively. \n • \n Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time. \n • \n Supporting the scaling of our data infrastructure as the business grows. \n\n Our modern data stack \n You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. \n What we're looking for \n We're looking for someone with solid analytics engineering fundamentals - or the drive to develop them - and the curiosity to apply them in a fast-moving environment. \n More specifically, we’re looking for: \n Essential: \n \n • \n Solid SQL skills and a willingness to keep improving them. \n • \n Some hands-on experience with dbt or ELT pipelines. \n • \n A collaborative working style and clear communication across technical and non-technical stakeholders. \n • \n A growing understanding of data modelling and how analytical datasets should be structured for reliability and usability. \n • \n Comfort using AI tools to move faster and improve the quality of your work. \n\n Desirable: \n \n • \n Experience with Snowflake or another modern cloud data warehouse. \n • \n An interest in learning from and eventually supporting analysts through shared patterns and good practices. \n • \n Fintech or scale-up experience \n\n Interview process \n \n • \n Initial call \n • \n Take Home Task \n • \n Technical Interview \n • \n Culture Interview \n\n Life at Lendable \n \n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

Job Description hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. \n \n The Role: \n We are looking for an experienced Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n Requirements \n Key Responsibilities: \n \n • Develop Data Engineering solutions for our clients/projects \n • Design and build data models, schemas to support business requirements \n • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. \n • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. \n • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. \n • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc. \n\n \n Key Skills/Experience: \n \n • Experience in operating as part of data engineering teams and independently. \n • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) \n • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) \n • You have framework experience within either Flask, Tornado or Django, Docker \n • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. \n • Data acquisition and development of data sets and improving data quality \n • Preparing data for predictive and prescriptive modelling \n • Reporting tools (e.g. Tableau, PowerBI, Qlik) \n • GDPR and Government Service Standard (desirable) \n • Passionate, motivated and enthusiastic about developing technology solutions. \n • Experience working in an Agile development environment \n\n Benefits \n Package and Benefits: \n \n • Competitive Salary \n • Bonus Scheme \n • Private Healthcare Insurance \n • 25 Days Annual Leave + Bank Holidays \n • Up to 10 days allocated for development training per year \n • Enhanced Parental Leave \n • Paid Fertility Leave (5 Days) \n • Statutory & Contributory Pension \n • EAP with Help@Hand \n • Gym Membership Benefits \n • Flexible Working \n • Annual Away Days/Company Socials \n\n \n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank - Post Trade Technology Group, 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. 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. \n Job responsibilities \n \n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems \n • Develops secure high-quality production code, and reviews and debugs code written by others \n • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems \n • Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture \n • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies \n • Use AI-assisted tools to accelerate engineering work while maintaining controls, including: \n\n, • Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning. \n • Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage. \n • Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation. \n \n • Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified. \n • Adds to team culture of diversity, equity, inclusion, and respect \n\n Required qualifications, capabilities, and skills \n \n • Formal training or certification on engineering concepts and 10+ years applied experience \n • Hands-on practical experience delivering system design, application development, testing, and operational stability \n • Advanced in one or more programming language(s) \n • Proficiency in automation and continuous delivery methods \n • Proficient in all aspects of the Software Development Life Cycle \n • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security \n • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) \n • Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies. \n • \n Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review). \n\n Preferred qualifications, capabilities, and skills \n \n • In-depth knowledge of the financial services industry and their IT systems \n • Practical cloud native experience \n • \n Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management. \n\n Work Style / Ways of Working \n \n • Strong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations. \n • Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence. \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Job Description \n About the role \n We are looking for a passionate Senior Data Engineer to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n Lead the development of a reliable, real-time view of our liquidity for multiple products. \n Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \n Interested? Find out more: \n \n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n \n • \n Starting salary: £105k - £135k + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n \n • Build robust Data Science capabilities which can be scaled across multiple business use cases \n • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems \n • Research and analyse data sets using a variety of statistical and machine learning techniques \n • Communicate AI capabilities and results to both technical and non-technical audiences \n • Document approaches taken, techniques used and processes followed to comply with industry regulation \n • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n \n • Hands on experience in an ML engineering role \n • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n • Track record of developing, deploying business critical machine learning models \n • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc \n • Experience monitoring, maintaining, enhancing existing models over an extended time period \n • Specialism in NLP or Computer Vision \n • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) \n • Extensive experience with pytorch, numpy, pandas \n • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) \n • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. \n\n Preferred qualifications, capabilities, and skills \n \n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) \n • Experience of big data technologies (e.g. Spark, Hadoop) \n • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints \n • Familiarity with GraphQL \n\n #CIBAppliedAI \n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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 hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally. \n As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning. \n Job Responsibilities: \n \n • Design and develop AI/ML solutions for data management challenges \n • Build prototypes to demonstrate value to stakeholders \n • Collaborate with business lines and corporate functions to identify needs \n • Partner with engineering and data science teams for solution delivery and integration \n • Maintain comprehensive documentation of models, experiments, and processes \n • Deliver written, visual, and oral presentations of modeling results to stakeholders \n • Stay current with research in LLM, ML, and data science \n • Identify and leverage emerging techniques to enhance solutions \n\n Required Qualifications, Capabilities, and Skills: \n \n • Formal training or certification in data and AI/ML concepts with expert applied experience \n • Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL \n • Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher \n • Demonstrated ability to solve complex problems with multiple constraints \n • Ability to articulate business needs to technical leadership and technical issues to business leadership \n • Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders \n\n Preferred Qualifications, Capabilities, and Skills: \n \n • Experience using AI agents and copilots to enhance business processes or user experiences \n • Experience with data management \n\n The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. \n Why Join Us? \n You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase. \n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

Job Description hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n \n • Design, develop, and maintain high-performance Java-based applications \n • Integrate AI/ML models into production-grade backend systems \n • Build RESTful APIs and microservices using modern Java frameworks \n • Collaborate with data scientists to deploy and scale machine learning solutions \n • Optimise system performance, scalability, and security \n\n \n • Implement CI/CD pipelines and ensure high code quality standards \n • Work with cloud platforms to deploy AI-powered services \n • Contribute to architecture decisions and technical roadmaps \n • Design, develop, and maintain high-performance Java-based applications \n • Integrate AI/ML models into production-grade backend systems \n • Build RESTful APIs and microservices using modern Java frameworks \n • Collaborate with data scientists to deploy and scale machine learning solutions \n • Optimise system performance, scalability, and security \n • Implement CI/CD pipelines and ensure high code quality standards \n\n \n • Work with cloud platforms to deploy AI-powered services \n • Contribute to architecture decisions and technical roadmaps \n\n Required Qualifications \n \n • Strong experience with Java 12+, Spring Boot, and microservices architecture \n • Experience integrating AI/ML solutions into backend systems \n • Understanding of REST APIs, distributed systems, and database design \n • Familiarity with SQL and NoSQL databases \n • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) \n • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) \n • Strong problem-solving and communication skills \n\n Preferred Qualifications \n \n • Experience with NLP, computer vision, or recommendation systems \n • Familiarity with MLOps practices and model lifecycle management \n • Knowledge of event-driven architectures (Kafka or similar) \n • Experience with DevOps tooling and infrastructure as code \n • Exposure to Generative AI and large language models \n\n Benefits \n What We Offer: \n \n • Competitive Salary \n • Bonus Scheme \n • Private Healthcare Insurance \n • 25 Days Annual Leave + Bank Holidays \n • Up to 10 days allocated for development training per year \n • Enhanced Parental Leave \n • Paid Fertility Leave (5 Days) \n • Statutory & Contributory Pension \n • EAP with Help@Hand \n • Gym Membership Benefits \n • Flexible Working \n • Annual Away Days/Company Socials \n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

Data EngineerSalary: £50,000 - £70,000 + Equity PotentialLocation: London (Hybrid)Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) Help Build the Future of AI-Powered Public Safety We're supporting a highly ambitious, venture-backed technology business currently operating in stealth mode. Their vision is bold: to become the world's leading AI company dedicated to supporting law enforcement, public safety and national security organisations through next-generation technology. This is a rare opportunity to join at an early stage of growth, where you'll play a key role in shaping both the technical architecture and the future direction of the company. Working alongside experienced engineers, AI specialists, data scientists and industry experts, you'll help build the data foundations that power sophisticated machine learning models and cutting-edge AI products designed to solve real-world challenges. The Opportunity We're looking for a Data Engineer who enjoys ownership, autonomy and solving complex technical problems. This isn't a traditional data engineering role focused primarily on business intelligence, reporting or dashboards. Instead, you'll be responsible for building and managing the data infrastructure that sits at the core of advanced AI systems. Key Responsibilities • Design, bui...

Azure Data Engineer - SC Clearance - London/Hybrid - £550 - £600 per day - 6 months Key Responsibilities Design and develop robust data pipelines using Azure services (e.g., Azure Synapse, Data Factory) Build and maintain scalable data architectures to support analytics and reporting Integrate data from multiple sources, ensuring quality, reliability, and performance Collaborate with data scientists and analysts to enable advanced analytics and Azure ML use cases Optimise data workflows and troubleshoot performance issues Azure Data Engineer - SC Clearance - London/Hybrid - £550 - £600 per day Core Skills & Experience Strong experience with Azure Synapse and Azure Data Factory Proven background in data engineering, data pipelines, and data integration Knowledge of Azure Machine Learning (Azure ML) and analytics platforms Experience with cloud data architecture and best practices Proficiency in SQL, Python, or similar data-focused programming languages Requirements Must hold active Security Clearance Azure Data Engineer - SC Clearance - London/Hybrid - £550 - £600 per day This temporary contract is inside IR35 and will require working under the direction o...

Staff Machine Learning Engineer | Remote | Salary £100,000-£200,000 (flexible) | Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. * Work closely with software engineers to integrate ML...

Senior Machine Learning Engineer | Remote | Salary £90,000-£160,000 (flexable) | Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They're looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up. The Role This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. Translating research concepts into robust, scalable production solutions. Monitoring, debugging and improving models using production data and user feedback. Working closely with software engineers, researchers and product teams to deliver impactful features. Mentoring other engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based mode...

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 a Machine Learning Implementation Engineer, youll be responsible for taking AI.

We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone who combines strong machine learning expertise with excellent software engineer

We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. As a member of the Core Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions. In this role, you will use a combination of off-the-shelf tools and custom solutions written from scratch to drive the latest advances in quantitative research. • Implementing ideas from a recently published research paper, • Writing custom libraries for efficiently training on petabytes of data, • Reducing model training times by hand optimising machine learning operations, • Profiling custom ML architectures to identify performance bottlenecks, • Evaluating the latest hardware and software in the machine learning ecosystem #J-18808-Ljbffr

Before the lights go out… before the big move is called… There’s data. There’s technology. There’s AI. As a Full Stack AI Engineer, you will be a core part of our product and AI engineering team as we build the future of sports tech. You won’t just write code - you’ll help redefine what’s possible in professional sports. You're joining at a pivotal moment: when AI is breaking into every level of sport and redefining the competitive edge. Your work will directly influence how athletes perform, how decisions are made, and how fans and teams connect with data. If you’re passionate about innovation with real-world impact, and excited by the intersection of technology, and high-performance environments - this is your opportunity to own outcomes, move fast, and thrive when the stakes are high, by turning AI from concept to scoreboard. • Drive innovation by leading the development of AI-based systems that will redefine what’s possible in sports, • Design, develop, and maintain scalable fullstack web applications integrating AI/ML models, • Collaborate on building PACETEQ’s unified Sports Data Platform, • Implement backend services, RESTful APIs, and frontend UIs in modern JavaScript frameworks (React, or similar), • Integrate ML models into production systems, • Help define software architecture that supports real-time decision intelligence for sports, • Contribute to DevOps and ML Ops pipelines., • Learn and grow through cross-functional projects with a crew of embedded engineers, application developers, and sports experts, • Operate with speed and precision in a performance-driven environment, • Report directly to our CTO and work shoulder-to-shoulder with the CEO when the stakes are high, • 3–6 years experience in fullstack engineering with exposure to AI/ML, • Proficiency with JavaScript, React, and other web technologies, • Hands-on experience deploying machine learning models in a production environment, • Strong API design skills (REST / GraphQL), • Experience with containerization (Docker), cloud platforms (AWS), CI/CD, • Familiarity with AI tools/libraries (scikit-learn, PyTorch/TensorFlow, OpenCV, etc.), • High accountability and ownership: able to independently deliver full features, • Strong verbal + written communication in English, • Adaptable mindset — solving technical challenges in fast-moving environmentsAt PACETEQ, performance starts with people. We reward talent, celebrate collaboration, and create space for you to do your best work while enjoying the journey. Here’s what you can expect: Professional & Personal Development • Trainings, certifications & access to cutting-edge tech, • Career growth tracks in Engineering, Product, or Tech StrategyWork How You Perform Best, • Flexible working model: remote, hybrid, or on-site in Germany/UK, • No micromanagement – full trust, real accountability, • Setup support for your home office or remote gearMobility & Sustainability Benefits (Germany), • We pay for your Deutschlandticket, • Or: Subsidy for bike, e-scooter or leasing model, • Contributions to your bAV (betriebliche Altersvorsorge)Wellbeing & Everyday Life, • Fruit, Snacks and drinks stocked weekly, • Gym, fitness studio, and onsite restaurant (Germany HQ)Culture & Connection, • Regular team events, • Fun, high-trust atmosphere where people stay curious, humble, and braveJob Security & Respect, • We believe in long-term high performance, not hire & fire, • Join us with a secure, full-time, permanent contract, • A future-proof role in a growing international sports tech companyCompensation & Coverage, • Competitive salary based on experience, • 30 days paid vacation + bank holidaysWe will ask you to:, • Complete the questionnaire, • Send us your CV, • Send us your Cover LetterPACETEQ welcomes diverse backgrounds, viewpoints, and experiences. We value potential over perfection. If the role inspires you, apply - even if you don’t tick every box. _

Working closely with software engineers, machine learning engineers, data scientists, product managers,analystsand technical leaders, you will shape how we build, test, deploy,monitorand govern AI-powered systems. We are recruiting for a Staff Software Engineer (AI) to help design,buildand evolve pr

Founder AI Engineer –remote - - £100k - £150k + Equity Hexwired Recruitment is currently hiring for a rapidly expanding R&D company developing a groundbreaking AI platform in London. They're now seeking a Founding AI Engineer with a solid understanding of LLM integration and deployment. The company are looking to scale rapidly, and are expanding across various teams to delivery this project. This is an excellent opportunity for someone seeking a challenging and rewarding role in data science. This a senior role within the business and there is scope to grow as the company expands! As a Founding AI Engineer, you will be working remotely developing a brand new product from the ground up, Key Skills: Masters or PhD in Machine Learning, Physics or Similar from a Russel Group or an internationally recognised University Good commercial experience building and scaling LLM’s for AI platforms Solid Python & Pytorch experience Previous background in a startup is highly desirable The company are looking to offer circa £150k+ benefits including equity along with flexible working, bonuses and the chance to see your work being used worldwide! If you would be interested in this remote Founding AI Engineer role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Digital Electronics, Python, Java...

GCP Data Engineer £500 - £550 per day inside IR35 6-month contract Hybrid working in London We're working with a global healthcare and AI research organisation at the forefront of applying data engineering and machine learning to accelerate scientific discovery. Their work supports large-scale, domain-specific datasets that power research into life-changing treatments. They're now looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data within BigQuery Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasetsImplement monitoring, testing, and documentation to ensure production-grade reliability Participate in agile ceremonies, code reviews, and technical design discussions

Working Environment You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards. You will work within security, compliance and governance constraints where quality and judgement matter as much as pace. What You'll Be Doing • Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration, • Develop, validate and deploy machine learning models into production environments, • Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty, • Design and run experiments to evaluate model behaviour, performance and user impact, • Work with real, imperfect data drawn from operational systems and workflows, • Integrate machine learning components into wider software and data platforms, • Balance rigour with pragmatism, delivering solutions that are proportionate and effective, • Communicate complex technical concepts clearly to non-technical stakeholders, • Engage in technical reviews, design discussions and constructive peer challenge Your Experience • Proven experience operating at senior practitioner leve...

We work with a range of UK employers actively hiring across these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through to model development, evaluation, deployment, monitoring and iteration. The role suits someone who pairs solid software engineering foundations with genuine ML rigour and a healthy scepticism about what models can and can't be trusted to do. Key Responsibilities • Partner with product, data and engineering stakeholders to frame problems suitable for machine learning, • Build, train, evaluate and tune models across classical ML, deep learning and generative AI as appropriate, • Productionise models—APIs, batch pipelines, real-time inference, model registries, • Design and operate ML pipelines covering ingestion, feature engineering, training, evaluation and deployment, • Build robust evaluation harnesses—offline metrics, online experiments, guardrails a...

You will work alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI techn

Hexwired is recruiting for a cutting edge electronics manufacturing company based in London now seeking a Senior Electronics Engineer to help develop their world class sensing products. The company are expanding due to the requirements of their customers and are seeking a Senior Electronics engineer with experience and knowledge across high-speed digital design and FPGA's. This is a Senior Electronics role primarily focused on product design and development across the full development lifecycle, including initial design, development and test. Key skills: Experience in the design of HighSpeed Digital systems Experience in FPGAs using VHDL/ Embedded C Programming experience using MATLAB Experience within RF would be advantageous Experience in multilayer PCB design Knowledge of Orcad or Altium is advantageous The salary is dependant on experience and the company also offers a comprehensive benefits package. If you’re interested in this senior Electronics Engineer role in London, please apply. For more information on this role or any jobs across: FPGA, Mixed-signal, Electronics, Hardware, Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today...

Senior Software Engineer (ML Systems) Title: Senior Software Engineer (ML Systems) Company: Deep Technology Organisation Location: London Pay: Up to £120,000 Company: A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers to tackle some of the most challenging problems at the intersection of software, hardware and performance engineering. The team focuses on understanding how complex distributed systems behave at scale, using measurement, modelling and simulation to guide design decisions long before systems are deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation ...

AI Engineer / ML Engineer £700-£800 pd via Umbrella Fully Remote- occasional UK office visit Leading Financial Services business is looking to bring in an experienced AI Engineer / ML Engineer with commercial experience in Generative AI and/or Agentic AI solutions. Key Requirements • Proven experience delivering GenAI or Agentic AI projects in a commercial environment, • Strong understanding of end-to-end model development and productionisation workflows, • Experience deploying and managing AI solutions in production environments, • Proficient in Python for data science, machine learning, and AI development Technical Skills • Microsoft Azure AI toolset, including:, • Azure AI Foundry, • Azure AI Search, • Experience with MCP and Vertex/storage-related infrastructure, • Strong understanding of AI architecture, orchestration, and scalable deployment practices Preferred Experience • Building AI agents, RAG pipelines, or enterprise AI applications, • Working with cloud-based AI/ML platforms and data storage solutions, • Collaborating with engineering and product teams to deliver production-ready AI systems This role would suit someone who combines strong technical delivery skills with practical ...

Job Description hackajob is collaborating with Flutter UK&I to connect them with exceptional professionals for this role. \n The Frontier R&D team sits within Flutter UKI's Disruptive R&D function, dedicated to exploring emerging technologies over a 12-36 month horizon. We prototype rapidly with cutting-edge tools, build relationships with technology providers, and create demonstrations that inform strategic decisions across the business. Our work transforms ambitious concepts into tangible outputs that can be developed into full-scale projects. \n As Prototyping Engineer, you will be the technical engine of the team, turning ideas into working software at pace. \n What you’ll do \n \n • Rapidly building functional prototypes across a wide range of technology domains, from machine learning systems to API integrations \n • Leveraging generative AI coding assistants and productivity tools to maximise development velocity \n • Developing proof-of-concept applications that demonstrate the potential of emerging technologies for betting and gaming \n • Building automated pipelines and workflows for content generation, data processing, and system integration \n • Integrating with third-party APIs and services to create novel product experiences \n • Implementing machine learning models and neural network architectures for experimental applications \n • Deploying prototypes to internal demonstration environments and hubs for stakeholder evaluation \n • Collaborating with the Research Graduate on technical feasibility assessments \n • Contributing to technical presentations and documentation of prototype capabilities \n\n What you’ll need: \n \n • Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) \n • Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar) \n • Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent) \n • Proven ability to deliver working prototypes quickly with minimal specification \n • Experience with API development and integration, including RESTful services and webhooks \n • Familiarity with cloud platforms and deployment pipelines (AWS, GCP, Azure, or similar) \n • Comfort working with ambiguity and rapidly evolving requirements \n • Genuine enthusiasm for learning new technologies and experimenting with emerging tools \n\n Desirable: \n \n • Experience building mobile applications or progressive web apps \n • Knowledge of betting or gaming industry systems and APIs \n • Experience with neural network architectures for generative or predictive applications \n • Familiarity with game development engines or creative automation tools \n • Background in mathematics, statistics, or computational science \n\n What’s on offer \n \n • £/€1,000 learning fund \n • Twice-yearly bonus (with part of it guaranteed!) \n • Unlimited Holiday \n • Pension contribution scheme \n • Private healthcare \n • Hybrid Working \n • Access to thousands of Udemy courses \n • Invest via the Company Sharesave Scheme \n\n About Flutter \n Flutter is the world’s leading online sports betting and iGaming operator, with a market leading position in the US and across the world. Our ambition is to change our industry for the better, making use of our significant scale and challenger mentality. \n By Changing the Game, we believe we can deliver long-term growth while promoting a positive, sustainable future for the industry. We are well-placed to do so through the distinctive, global advantages of the Flutter Edge, which gives our brands access to group-wide benefits to stay ahead of the competition, as well as our clear vision for sustainability through our Positive Impact Plan. \n Flutter operates a diverse portfolio of leading online sports betting and iGaming brands including FanDuel, Sky Betting & Gaming, Sportsbet, PokerStars, Paddy Power, Sisal, tombola, Betfair, MaxBet, Junglee Games and Adjarabet. \n About Flutter UK & Ireland \n The UK & Ireland region of Flutter unites some of the biggest brands in the betting and gaming industry; Betfair, Paddy Power, PokerStars, Sky Betting & Gaming and tombola. \n At Flutter UK & Ireland, we strive for the next level and drive innovation to set the pace as leaders, putting our customers first, always . We win together through team spirit and unparalleled dedication. When we’re free to be ourselves , we thrive and unleash our unique talents —creating a culture that empowers our people to change the game. We see opportunity everywhere and there is always more to discover... \n We’re working to be an inclusive employer. We encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. \n If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them.

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. \n In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. \n Job Responsibilities \n \n • Development of advanced machine learning models to address complex operational challenges. \n • Evaluating and communicating the impact brought by proposed solutions. \n • Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. \n • Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. \n • Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level. \n • Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. \n • Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. \n • Mentor and guide junior team members, fostering a culture of innovation and continuous learning. \n\n Required Qualifications, Capabilities, And Skills \n \n • Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. \n • Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. \n • Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. \n • Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. \n • Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. \n • Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). \n • Experience with integrating user feedback to establish self-improving AI applications. \n • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. \n • Familiarity with cloud platforms (AWS). \n • Excellent problem-solving skills and the ability to work independently and collaboratively. \n • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. \n\n Preferred Qualifications, Capabilities, And Skills \n \n • A Ph.D. is a plus but not required. \n • Experience in software engineering practices. \n • Experience in developing AI solutions using agentic frameworks. \n • Experience fine-tuning LLMs with advanced techniques. \n • Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. \n • Demonstrated ability to design and implement AI application architecture. \n • Significant experience in bringing AI applications to production with a focus on strategic impact and innovation. \n\n ABOUT US \n 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. \n 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 \n 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.