104 jobs found

hackajob is collaborating with Sporty Group to connect them with exceptional professionals for this role. About the role As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment. Our Stack SQL Python AWS/Azure/GCP What you'll be doing Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes. What you'll bring Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes Advanced understanding of Python and the quantitative analysis ecosystem in Python Strong foundation in probability theory, statistics, machine learning, and linear algebra 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role Knowledge of SQL and experience with relational databases Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering Project and stakeholder management experience is preferred Even better if you have Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join us to shape the future of technology at JPMorganChase. You'll have the opportunity to build brand-new systems from the ground up, making a real impact on how we deliver secure, scalable solutions. We value creativity, collaboration, and a passion for solving complex challenges. As part of our diverse and inclusive team, you'll help drive innovation and foster a culture of respect and opportunity. Your expertise will empower us to push the limits of what's possible. Job Summary: As a Lead Software Engineer in the Global Technology - Container Platforms team, you will design, build, and deliver trusted technology products that support the firm's business objectives. You will implement critical solutions across multiple technical areas, focusing on creating platforms and new workload offerings using Kubernetes. You will help make deployments easier and more maintainable on Kubernetes and Cloud Foundry. You'll thrive in an environment where building new systems from the ground up is encouraged and valued. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting Develop secure, high-quality, and observable production code; review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive outcomes-oriented probing for applicability within existing systems and information architecture Lead communities of practice across Software Engineering to promote awareness and use of new technologies Foster a team culture of diversity, inclusion, and respect Collaborate with others and contribute to building a high-performing team Champion a team-first mentality Promote innovative and creative solutions to technical problems Support continuous improvement and operational excellence Required Qualifications, Capabilities, and Skills: Hands-on practical experience delivering system design, application development, testing, and operational stability Proven experience in writing code using AI Engineering Tooling such as Claude Code, Copilot, or Codex Proficient experience in GoLang Cloud native experience with Kubernetes, Cloud Foundry, and/or AWS/Azure/GCP technologies Proficiency in automation, various testing paradigms, and continuous delivery methods Expertise in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security Demonstrated proficiency in software engineering for applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, software design) In-depth knowledge of the financial services industry and IT systems Strong critical thinking, systems thinking, and design thinking skills Preferred Qualifications, Capabilities, and Skills: Experience building platforms and workload offerings from the ground up Familiarity with container orchestration and cloud-native architectures Ability to drive innovation and lead technical initiatives Strong communication and collaboration skills Passion for mentoring and supporting team members Commitment to fostering diversity and inclusion Experience working in high-performing, agile teams If you're ready to make a difference and help us build the next generation of technology platforms, we invite you to join our team. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our 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.

hackajob is collaborating with BAE Systems Digital Intelligence to connect them with exceptional professionals for this role. Location(s): London or Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Software Engineer Requistion ID: 120492 Location: London, Manchester or Leeds - Hybrid working offered, with consideration for both full and part-time applicants - please speak to your recruiter about the options Grade: GG08 - GG13 Are you passionate about working with cutting-edge technology and self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Software Engineer. As a key member of a Software Engineering team, you'll be working with our National Security Customers to build systems that support their core mission capabilities. You'll work as part of empowered, autonomous DevOps teams with regular contact with end-users to flexibly and efficiently understand, design, develop, deploy and maintain applications and services. You'll be encouraged to identify new ways of solving problems and get to work in a range of different teams across our customer organisations. You'll be part of the biggest defence company in the UK however we have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore value Engineers who enjoy playing a role in the full delivery lifecycle and are flexible to learn and pick up new technologies and approaches. You'll be playing a role in identifying the right technologies to use for the job and be supported with training as needed through access to services such as Pluralsight. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes Continual testing of code using Automated Testing Frameworks Ensuring code consistency and quality by utilising static code analysis tools e.g. SonarQube Team working inside an agile environment e.g. Scrum, Lean, Kanban Common software design patterns Using precedent and your own creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Security Clearance Due to the nature of our work, successful candidates for this role will be required to hold an active eDV before applying for this opportunity. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You'll be part of our company bonus scheme You are welcome to join any/all of our Employee Resource groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Inclusion is integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2 London, United Kingdom Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how tos, and demo applications. Develop both technically and in the pre sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for Experience, technical customer facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working in the following any of the following vertical sectors: Entertainment, Media, Telco and/or Hospitality. Financial Services and Insurance (FSI). Retail / CPG (Consumer Package Goods). Any experience in Pre sales or post sales experience working with external clients. Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as PySpark, Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs of concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. % of the time. Nice to have: Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.

Business Support London, England Full-time Company Description MarketAxess is on a journey to digitally transform one of the world's largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one's ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we're going. How we get there is up to us. Join us and help Take Us There. The Role The Corporate Technology Lead will define and deliver the technology roadmap for corporate functions including Finance, HR, Legal & Compliance, Risk, Finance and Marketing. This role is responsible for platform consolidation, digitization, strategic alignment of technology initiatives with business objectives, and effective vendor management. For the operations function this individual will be driving Operations Technology Transformation through digitization, and technology innovation to deliver scalable, efficient, and resilient platforms. We are seeking a hands on experienced and forward thinking Technology Lead to spearhead the digitization and automation of Operations. The successful candidate will lead technology strategy and execution across key service areas including trade settlements, middle office, reconciliations, regulatory reporting, client lifecycle management and operational controls. Delivering operational efficiency and improving client experience through transformation initiatives. How You'll Help Take Us There Strategic Change Leadership Develop and execute a comprehensive technology roadmap and governance framework for corporate functions Evaluate the As is Operations technology landscape and look to simplify the end to end architecture Define and execute a forward looking technology and transformation roadmap focused on digitisation, automation, and operational excellence Partner with product, technology, operations, risk, and vendor teams to identify opportunities that improve Operational performance and client outcomes Act as a trusted technical advisor to senior stakeholders across Operations Hands On Oversight of development teams and ensure timely delivery of solutions Manage incident resolution and performance improvements Establish API first development, data quality, and platform observability Optimize and orchestrate workflows using BPM tools, decision engines, and custom microservices Pilot and scale emerging technologies such as Generative AI where appropriate. Implementing AI/ML models for exception management, document classification, anomaly detection, and operational intelligence Identify areas for tech driven innovation and rapidly prototype solutions with internal or vendor teams Evaluate and select external platform providers, own technical due diligence, integration planning, and vendor alignment with enterprise architecture Ensure third party platforms meet enterprise standards around security, integration, observability, and support Present strategy, solution design, and progress updates to steering committees and senior technology forums Ensure platforms are audit ready and meet data residency, security, and control requirements in all operating jurisdictions Develop and execute a comprehensive technology roadmap and governance framework for corporate functions Ensure alignment of technology initiatives with organizational goals Build and maintain strong relationships with technology vendors Negotiate contracts, monitor SLAs, and ensure cost effective service delivery Evaluate vendor performance and drive continuous improvement What We're Looking For 10+ years of experience in Corporate / Operations Technology Proven leadership in enterprise technology within corporate functions Strong technical understanding of modern software development practices (APIs, cloud, CI/CD, monitoring, etc Experience with GenAI or LLM powered tools to accelerate the SDLC process Hands On development experience programming in Java or C++ Strong experience managing vendor solutions and integrations Strong hands on experience with enterprise automation tools (RPA, BPM, workflow engines) and machine learning frameworks in production environments Deep understanding of Operational processing workflows and challenges in areas like trade matching, exceptions management, regulatory compliance etc Experience managing vendor ecosystems, including platform integration, architecture alignment, and service management Proficiency in Cloud platforms (AWS, Azure, GCP) and microservices architecture, REST APIs, and integration patterns Preferred Involvement in enterprise data mesh, data fabric, or real time operational analytics programs Familiarity with SDLC, Agile/SAFe, release management, and change controls in financial services Demonstrated success delivering large scale digital transformation programs in highly regulated financial environments Ability to challenge vendors technically and evaluate roadmap alignment with enterprise needs Strong organizational, written, and verbal communication skills with the ability to collaborate across disciplines A track record of practical, hands on leadership and problem solving, with a bias toward action and a mindset rooted in experimentation and continuous learning What You Can Expect from Us Central Location: based at our city offices near St Paul's. Free Food: We provide lunch each day of the week when the employee attends the office via our vendor Feedr as well as breakfast cereals, office snacks and drinks from our free vending machines Paid Time Off: 25 days annual leave entitlement plus 2 charity days Reward for your service: We offer a two week bonus holiday after completing each 5 years of service Core benefits: Besides competitive standard benefits package we offer private medical (PMI) for family, Cash Plan, health screenings, dental cover, 6X life assurance, critical illness cover, income protection, pension, car leasing (Tusker electronic cars), reimbursement for wellness stipend, interest free season ticket loan and a "Share Incentive" plan Tuition Assistance and Professional Training: Benefit from on demand learning, boot camps, and opportunities to attend conferences Collaboration and innovation are integral to our success - it's how we got to where we are and how we'll maintain and grow our competitive advantage. We believe this best happens in an office environment. Employees in Technology work in the office 2 or more days a week. This approach still allows for flexibility depending on the business function you work within but also helps us maintain a collaborative office environment long term.

Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details

Job Title: Lead AI/ML ConsultantJob Location: London, UK/ HybridJob Type: FTEWe are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple accounts and initiatives.The candidate needs to have deep insurance domain knowledge, a strong grip on modern AI architecture patterns, and the communication skills to operate comfortably in both technical and domain jargons.Key ResponsibilitiesDeep understanding of the insurance domain: underwriting, policy administration, claims, reinsurance, and distribution.Ability to speak credibly to business stakeholders about business impact without needing a translatorFamiliarity with insurance data types: structured (policy, claims, exposure) and unstructured (loss reports, survey documents, correspondence).Experience applying Responsible AI frameworks in practice: bias assessment, fairness metrics, explainability techniques and model cards.Demonstrable hands-on experience with Microsoft Azure AI Foundry: project setup, model catalogue, evaluation frameworks, and deployment pipelines.Proficiency with Azure OpenAI Service: GPT model deployment, fine-tuning, content filtering, and token management.Experience with Azure AI Search (vector and hybrid search), Azure AI Document Intelligence, and Azure Machine Learning.Ability to wire these services together into coherent, production-ready architectures not just run individual demos.Understanding of Azure security and identity controls as they apply to AI workloads: managed identities, private endpoints, and data residency.Develop and deploy RAG-based knowledge systems using Azure AI Search, Azure OpenAI Service, and relevant orchestration frameworks (LangChain, Semantic Kernel, or Prompt Flow).Design and implement AI agent architectures for orchestrating multi-step insurance workflows (e.g. automated claims triage, document extraction pipelines, underwriting assist tools).Build and evaluate ML / predictive models relevant to insurance: churn, risk scoring, fraud detection, reserve estimation.Validate outputs from engineering teams against the original solution design; identify deviations before they reach the client.Establish and apply Responsible AI practices: bias evaluation, explainability, model monitoring, and governance documentation aligned to FCA and industry expectations.Define reusable AI solution accelerators, reference architectures, and best-practice playbooks for the insurance vertical.Ability to produce governance documentation that satisfies both technical and regulatory audiences.Mentor and provide technical direction to junior consultants and engineers on the team.Required Skills & QualificationsPython proficiency sufficient to build prototypes, review engineering output, and debug issues independently.Familiarity with orchestration frameworks: LangChain, Semantic Kernel, or Microsoft Prompt Flow.Hands-on experience with Microsoft Azure AI FoundryWorking knowledge of Azure DevOps or GitHub for managing AI experiment tracking and deployment pipelines.Ability to read and interpret SQL; experience with cloud data platforms (Databricks, Synapse, or equivalent) is advantageous.Preferred Qualifications/CertificationsMicrosoft Certifications: AI-102 (Azure AI Engineer), DP-100 (Azure Data Scientist), AI-900, or equivalent.Familiarity with insurance-specific AI regulation guidance.Exposure to ML Ops practices: model versioning, drift detection, retraining pipelines, and A/B evaluation in production.Experience with multi-modal AI (document + image pipelines relevant to property claims or risk surveys).Familiarity with data bricksPrior experience in a vendor or consultancy environment managing multiple concurrent client engagements.Knowledge of CI/CD for Databricks (Azure DevOps, GitHub Actions).Exposure to data governance, security, and compliance frameworks.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. At Sainsbury's, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury's powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury's, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you'll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. We're a business serving millions of customers a day, with the UK's largest loyalty scheme and an ever-evolving set of digital platforms. All this equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match. As a data rich organisation we operate a highly personalised and extensive multi-channel marketing programme across digital, in-store and at home and with our Marketing colleagues are accountable for driving business sales, profit and market share. We identify when customers are at risk of churning and re-ignite their loyalty to the business before they lapse from us. We grow sales from individual customers both to support key categories, but also the business's overall sales line. We drive additional visits, more items in the basket, and use of more of our multiple channels and propositions by our customers. Making proper use of our data is essential to every aspect of all our programmes. Digital Marketing & CRM Analytics focus on acquiring and securing Sainsbury's customers through the efficient use of digital paid media channels and driving deeper engagement with Sainsbury's through Digital Propositions CRM programs. The common goal is to ensure that this significant marketing investment is managed prudently and drives ROI. The Analytics Manager will be themselves an exceptional analyst and will lead their team to carry out our most complex modelling, forecasting, tool building, and insights-generation in-house, using agile working methodologies to make sure we're delivering the right priorities. What outcomes I need to deliver You will lead an agile, high calibre team of Marketing Analysts (both on and off-shore) and be responsible for delivering forecasting, targeting, post campaign analysis and optimisation across digital marketing and digital proposition campaigns. Influence Digital and CRM Marketing stakeholders in developing channel and proposition strategies and annual plans - defining the central role for customer, data and analytics. Continually seek new and improved methods of assessing our activity to ensure that we are as confident as possible that we are driving greater customer value and the greatest return on investment. Work closely with Data Science and Marketing colleagues to help develop new programmes and evolve existing campaigns. Apply knowledge of analytical and statistical techniques, software and data sources to develop models of customer behaviour as foundations for these campaigns and to inform this collaboration. Work with Technology and Marketing teams to ensure the emerging MarTech strategy meets the ambitions of our CRM and Digital Marketing aspirations. Lead the migration of Food Digital Propositions CRM reporting to PowerBI ensuring Marketing and Finance stakeholders can self-serve all relevant campaign analysis from a consolidated suite of dashboards. Build, lead, develop and motivate a high performing team of analysts. Work with Accenture leadership team to optimise the shape and impact of our offshore capability. You will lead and uphold the development and standards of your team and their outputs, enabling individuals to reach their full potential. You will be an ambassador for Analytics best practise, including ethics, governance, security, and assurance. What you need to know and show An inquisitive mind, constantly seeking opportunities and solving problems with curiosity. A strong quantitative academic background likely to consist of a university degree (e.g. statistics, mathematics, physics, machine learning, engineering) Experience of Marketing Campaign design and analysis and/or Insights is essential, working with customer data to find key insight and drive business change You excel in managing experienced teams, elevating their performance by coaching and upskilling them in analytics techniques, and supporting them through the analytics life cycle. Demonstrate a strong commitment to agile working practises in order to deliver maximum value from the team through rigorous prioritisation and workstack management A strong commitment to accuracy and rigour in the analysis produced within the team Extensive programming ability across Python, R and SQL, with a proven experience of analysing data in a corporate environment. A strong understanding of coding efficiency and best practice and an ability to install this in the wider team. A track record of developing powerful data visualisation products which clearly articulate topline performance as well as enabling drill down to understand the drivers. Identify opportunities for automation, minimising repetitive tasks and tailoring the analytical and reporting tools available, and/or investigating new options to deliver the required output A strong customer mindset, ensuring customer outcomes are integrated into broader Analytics projects. High level understanding of data architecture/governance in relation to Direct Marketing and knowledge of the Marketing Technology landscape Curiosity, scepticism and attention to detail regarding data, data quality, samples, bias, etc Resources available to me A brilliant team of Leads, Analysts and associate Analysts. The full spectrum of Customer Data collected across our brands from transactions, digital interactions, surveys, demographics and more. Access to a wide range of tools and technologies, primarily Snowflake, Python and AWS/Azure Cloud platform. You'll benefit from a fully committed and supportive leadership team and the power of the newly formed Data & Analytics function, along with highly engaged stakeholders. Access to Data and Technology teams to progress outcomes, tools requirements and capabilities. What decisions can I make How best to target and measure Food Digital Propositions CRM and Digital Marketing activity How to tell the story of the analysis, its impact and the business transformation required Influence CRM and Digital marketing transformation including MarTech strategy How to recruit, develop, train, and unify your team How to drive analytics excellence into the areas you work with How to remove blockers to ensure your team delivers on outcomes and continuously improves Essential Criteria Experience leading and developing analytics teams, including coaching, performance management and building analytical capability. Strong experience in marketing, CRM or customer analytics, including campaign design, targeting, measurement, post-campaign analysis and insight generation using customer data. Advanced hands-on experience using Python, SQL and/or R to analyse large and complex datasets in a commercial environment. Experience applying statistical analysis, forecasting and modelling techniques to solve business problems and improve marketing performance. Experience leading analytical delivery in an agile environment, including prioritisation and management of multiple workstreams and stakeholders. Experience developing data visualisation and reporting solutions (for example Power BI dashboards) that enable stakeholders to interpret performance and make data-driven decisions. "We are committed to being a truly inclusive retailer, so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday . click apply for full job details

JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future 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. 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. Ready to make your mark? Join us and be part of something bigger. Job Profile Description As an AI Product Lead in Actonomy, you'll own the product roadmap across our AI product suite and be the senior product voice for the business. You'll take end-to-end ownership: shaping where our products go, why, and in what order, and making sure the team delivers them. It's a genuine product and delivery hybrid, so you'll be as comfortable defining strategy and pricing as you are running an agile team's day-to-day delivery. You'll bring a blend of business and technical savvy, a big-picture vision, and the drive to make that vision real. You'll become the subject matter expert for Actonomy's products, work closely with engineers, architects, GTM and Microsoft as our key partner, and stay close enough to customers to turn their problems into products people want to buy. As a small, fast-growing team, we need someone who can lead from the front and give wider leadership the room to focus on scaling the business. You will be responsible for: Owning the product roadmap - You'll own the roadmap across Actonomy's AI product suite: analysing market needs, deciding what we build and why, and sequencing delivery to maximise value. Being the product SME - You'll be the subject matter expert for our products - the go-to person for what they do, how they're positioned and where they're heading - internally and with customers and partners. Supporting delivery - You'll help run the day-to-day delivery of a small, growing agile team: prioritising the backlog, planning sprints, removing blockers and keeping delivery on track. Turning market needs into requirements - You'll capture and articulate requirements from customers, prospects, partners and internal subject matter experts, and translate them into clear release and acceptance criteria, including the minimum viable product for each feature. Working with engineering - You'll work closely with engineers and architects to advance the functional and non-functional aspects of the product, demonstrating a clear understanding of release acceptance criteria. Measuring success - You'll define and measure the success criteria for each delivered feature, and run beta and early-adopter programs with customers and development partners. Pricing and go-to-market - You'll help price feature add-ons and new modules, and support product marketing on go-to-market: positioning, key benefits and target customers. Managing partners and evangelising - You'll sustain relationships with technology partners - Microsoft chief among them - and act as the internal and external evangelist for the product suite. Leading the team - You'll manage, coach and develop a small number of team members (see People Management below). Minimum (Essential) Requirements Proven experience owning a product roadmap, ideally as a product manager, product owner or product lead in an Agile software development environment. Significant experience working on, analysing, building, pricing and launching software products, with relevant commercial experience. Comfortable with delivery management for an agile team: backlog prioritisation, sprint planning and keeping delivery on track. Experience of, or a strong interest in, AI products and the Microsoft AI ecosystem (e.g. Azure AI, Copilot and agents). A proven track record of working closely with engineers and architects to advance the functional and non-functional aspects of a product. Experience running beta and early-adopter programs with customers or development partners. Excellent communication skills: a persuasive and effective communicator with strong negotiating skills, who can also listen, understand and build on others' viewpoints. An eye for detail, with the ability to interpret supplied information, understand its sources and challenge where necessary. The ability to facilitate team meetings and group conversations. A good understanding of technology, digital services and AI trends, with good commercial awareness. Experience managing, coaching or developing people, or the readiness to take this on. Desirable Experience delivering AI or machine-learning products, or building on the Microsoft AI stack (Azure OpenAI, Foundry, Copilot Studio, agents). Familiarity with the Microsoft Commercial Marketplace and partner co-sell motions. Experience working in a regulated or compliance-driven domain. A background that bridges the technical and commercial sides of product. People Management Your role will include managing people, with your responsibilities to include: Agreeing, setting and reviewing your and your team's goals aligned to Kainos, Actonomy and your Capability. Providing support so that your and your team's goals can be achieved. Reviewing and refining goals for relevance and to keep performance on track. Reviewing performance against goals and providing feedback. Conducting 1:1 monthly and/or project completion feedback meetings. Requesting and providing regular feedback in Workday. Completing End of Year reviews and agreeing the outcomes for the year. Identifying training to support your and your team's development. Pursuing and supporting you and your team members' career paths and progression. Reviewing weekly workload forecasting (staff allocations and timesheet checks) and utilisation. Actively being involved in recruitment and interviews. Reviewing attrition and retention metrics. Embracing our differences 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. 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. 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.

hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Lead Data Engineer page is loaded Lead Data Engineerlocations: UK - Hooktime type: Full timeposted on: Posted Todayjob requisition id: R At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your role: Lead Data EngineerTo be successful in an engineering role at Elanco requires a highly motivated individual with an innovative mindset and willingness to drive tangible outcomes. The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Your Responsibilities: Partner with your Product Manager to lead squads through sprints, engage in product discovery, enhance engineering designs, and develop compelling solutions to prioritized problem statements. Leverage modern product approaches to influence and shape the business, e.g. discovery, rapid prototyping, and embedding a culture of working out loud. Advocate for, and educate colleagues and stakeholders on, our Enterprise Data Engineering capabilities to ensure their value and potential is well understood. Drive strong technical standards, technical processes governance and control. Support and execute quality change management practices, ensuring a high bar for quality. Drive Elanco's data standards, leveraging standard languages and frameworks across the enterprise, continually reviewing them to ensure a balance of effectiveness and pragmatism. Partner with core engineering groups to ensure application security is appropriately considered, monitored, and acted upon. Act as an escalation point of contact to diagnose and problem solve data engineering challenges. Look for opportunities to modernize our data landscape, maximizing investments and driving more reliable outcomes. Contribute to the Data Engineering community across Elanco to inspire, engage, and ignite innovation. Embrace and demonstrate a learning, growth, and sharing mindset. Look for opportunities to partner internally and externally using formats to engage, learn and achieve great outcomes for Elanco IT. What You Need to Succeed (minimum qualifications): Bachelor's Degree in Computer Science, Software Engineering, or equivalent professional experience. 6+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. What will give you a competitive edge (preferred qualifications): Proven ability to lead and deliver complex data projects. Expertise in data pipelines, integration and analytics practices and capabilities. Experience working with modern data architectures, engineering methodologies, and platforms (Databricks, lakehouse, scalable data pipelines, APIs, data contracts, SQL/NoSQL, FAIR data principles, etc.). 2+ years in roles requiring technical leadership and/or coaching and development of colleagues. Familiarity with machine learning workflows, data quality, and data governance. Experience working in complex and diverse global landscapes (business, technology, regulatory, partners, providers, geographies, etc.). Experience as a coach and/or mentor in developing technical skills. Good interpersonal and communication skills; proven ability to work effectively within a team. Familiarity with infrastructure automation techniques and technologies such as Terraform and Ansible. Additional Information: Travel: 0-10% Location: Hook, UK - Hybrid Work Environment If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected statusElanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see ourElanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose(TM) CSR framework - all to advance the health of animals, people and the planet. Learn more at .

hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

hackajob is collaborating with Next Ltd to connect them with exceptional professionals for this role. The Role: An exciting opportunity has arisen to join our Business Intelligence Systems (BIS) team at a pivotal moment in our tech journey - transitioning from legacy architectures to a modern cloud-first data ecosystem. You won't just be maintaining systems; you'll be building the future of our data infrastructure. In this role, you will utilise data, analytical, and reporting tools to develop new products, optimise existing solutions, and support our users across the business. The BIS domain works in close collaboration with stakeholders across key Business areas such as Finance, Product, Marketing, and Contact Centre to design, build, and support the critical data solutions NEXT relies on for operational and business analysis. Our thriving department features 80+ developers, analysts, and product managers focused on value driven delivery. What You'll Take On: Joining the BIS Infrastructure Workstream, you will focus on initiatives for the Technology and Compliance departments, alongside our Contact Centre partners, leveraging tools such as Azure stack (Azure Data Factory, Azure Datalake), Databricks and PowerBI to innovate and streamline workflows. As part of a product team, you will develop solutions tailored to meet business requirements, including initiatives such as cost-saving efficiencies, cyber resilience, and data security controls. Furthermore, you will support various data ingestion pathways, execute data compliance frameworks, and optimise our internal workflows to maximize process efficiency and operational stability. What You'll Bring: While our traditional SQL platform remains the core of our business for the foreseeable future, we are rapidly scaling our modern data architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape-someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Modelling: Solid foundation in Dimensional Modelling and data warehousing principles. Reporting & Analytics Reporting Tools: Proficiency in PowerBI (or similar tools like Tableau/SSRS). Tabular Modelling: Experience with SQL Server SSAS Tabular and DAX. Professional Behaviours Collaboration: Demonstrated ability to work within multifunctional, fast-moving product teams. Communication: Strong spoken and written English skills, capable of translating complex requirements into clear technical tasks. Mentorship: A proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Exposure to SQL Server RDBMS and Managed Instance. Working knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world data problems.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future 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. 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. Ready to make your mark? Join us and be part of something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on integrating AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features, while contributing to the technical growth of the team. Essential Experience: Solid experience in software development, with proficiency in languages such as Python, Java, or C++, writing clean, efficient, and maintainable code for production grade AI solutions. Hands-on experience deploying AI/ML models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such as conferences, workshops, or blogs. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working. Embracing our differences 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. 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. 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.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future 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. 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. Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working. Embracing our differences 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. 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. 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.