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Machine Learning Engineer page is loaded Machine Learning Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Ris a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you'll do: Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs Build cutting-edge augmented reality experiences using generative and diffusion models Work on state of the art GenAI pipelines for image and video generation Integrate ML models and AI APIs into production, and refine them through A/B testing and user feedback Evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap's products at the cutting edgeKnowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Strong verbal and written communication skills, with meticulous attention to detail Desire to solve open ambiguous problems Desire to grow professionally, learn and help others Ability to effectively collaborate with internal teams and external partners Ability to work independentlyMinimum Qualifications: Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience Research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of machine learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong track record of software development in Python or C++Preferred Qualifications: Master's degree or PhD in a related technical field Experience developing real-time software for mobile applications Knowledge of computer graphics foundations Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc. Experience with visual Gen AI models for Image and Video generation and Editing Experience with evaluating the visual quality of Image and Video modelsIf you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP

Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Friday 6th February 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion . click apply for full job details

Location UK (Remote) Employment Type Full time Location Type Remote Department Engineering About Cryptio We're Cryptio. We build infrastructure to bring financial integrity to the crypto economy. Our enterprise-grade back-office and data platform power mission-critical accounting, reporting, and operational workflows for institutions, corporates, and crypto-native organisations. We're trusted by leaders like Circle, Societe Generale, Uniswap, Gemini, and the Government of El Salvador. We've raised $26m from top investors including Point Nine, 1kx, Tim Draper, and Ledger Cathay. The opportunity We're hiring a Senior Rust Engineer to our Accounting squad to lead the technical development powering cost basis and PnL computations, staking, derivatives, accruals, and high-volume reporting pipelines. In this role, you'll tackle complex accounting challenges at the forefront of digital assets and traditional finance. You'll build the backbone for regulatory compliance, reporting, and audit readiness in the crypto sector, making a measurable impact for the world's most innovative financial players. Key technologies Rust (with a focus on performance and scalability) TypeScript (key dependencies: Nest.js, Zod, Slonik) PostgreSQL, Cassandra, ClickHouse Kubernetes on AWS, Docker, GitLab, Pulumi What you'll do Lead the development of core systems for Cryptio's SaaS accounting platform, ensuring robust and scalable customer workflows Architect, optimise, and maintain data-heavy solutions for financial reporting, reconciliation, and ledger automation Collaborate with staff engineers, product, and other teams to deliver features aligned with customer and business needs Identify, troubleshoot, and proactively resolve performance issues at scale Mentor and support the growth of engineers across the squad Contribute to codebase reliability by documenting best practices and enabling knowledge sharing across the company We're looking for someone who Has experience building and shipping production software, ideally with team or technical leadership Is comfortable working with Rust and eager to deepen their expertise in it Has hands-on experience (or a strong interest in learning) TypeScript and frameworks like Nest.js, Zod, or Slonik Is curious about crypto and accounting, or brings relevant domain experience Enjoys working on high-performance systems and diving into technical challenges involving large datasets Has worked with (or is open to learning) OLAP databases such as ClickHouse, as well as PostgreSQL Communicates clearly in English and values working collaboratively with others Is interested in mentoring, sharing knowledge, and growing with the team Approaches problems analytically and is passionate about building future finance infrastructure in crypto Why you'll love this role Own the development of mission-critical infrastructure in a fast-evolving industry Collaborate with a team of highly skilled engineers and cross-functional partners Work with cutting-edge technologies in cloud-native, data-heavy environments (Rust, TypeScript, ClickHouse, AWS) Freedom to experiment and drive architecture decisions impacting the entire product 100% remote role, with opportunities to visit our hubs in Paris or London Competitive salary and full benefits package - see our careers page for details Interview process Talent Screen - 30 min Technical Interview - 60 min Team interview - 45 min CTO interview - 45 min Offer Ready to shape the technical core of finance for the crypto economy? We'd love to hear from you. - Cryptio

Hybrid role to be based in our London, Bath or Edinburgh office. About us Seccl is the Octopus-owned embedded investment platform that's on a mission to helping more people to invest - and invest well. We're B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We're also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role As an Engineering manager, you'll play a pivotal role in Seccl's next phase of growth. This is a genuinely cross-company role, focused on solving realoperational and product problems wherever they exist. You'll work closely with teams across the business to understand complex processes and identify where automation and AI can remove friction, reduce risk, and improve outcomes. The team's focus is on AI-enabled automation: designing and delivering solutions that make day-to-day work measurably easier, faster, and safer. This includes applying automation, data, and AI capabilities in a pragmatic, responsible way: augmenting human decision-making, improving consistency, and strengthening control in critical workflows. The emphasis is on production-ready solutions with real impact, not experimentation for its own sake. Success in this role comes from delivering meaningful operational improvement, underpinned by strong engineering discipline, governance, and resilience. This is a leadership role with both delivery and growth accountability. You'll work closely with Product, Compliance, and domain engineering teams, alongside leaders across the wider business, to identify and address the operational and technical challenges that constrain Seccl's growth. Your leadership will directly influence how automation and AI are used across the organisation to improve efficiency, strengthen control, and enable Seccl to scale safely as the platform and customer base continue to grow. This role goes beyond day-to-day squad leadership: you'll help shape the technical direction, operating model, and long-term strategy for automation and AI, influencing how these capabilities are applied across Seccl as the business scales. The Automation team delivers solutions using a mix of technologies, including cloud services, custom-built integrations, and the Microsoft Power Platform. The team includes experienced Power Platform engineers, and part of this role is to ensure these capabilities are applied thoughtfully, with appropriate engineering discipline, governance, and integration alongside other technologies where they are a better fit. Automation in Seccl Automation is a critical enabler of Seccl's growth. As the platform, customer base, and regulatory obligations scale, the ability to automate complex processes safely and intelligently is fundamental to maintaining speed, control, and operational resilience across the business. This domain spans the full breadth of Seccl - supporting teams across Product, Custody, Accounts, Finance, Operations, and Compliance - and focuses on reducing manual effort, improving consistency, and enabling teams to operate at scale. The scope continues to expand as we tackle increasingly complex workflows, higher transaction volumes, tighter regulatory expectations, and new growth initiatives. We are investing in this team to ensure automation is applied in a deliberate, production-ready way, with strong engineering discipline and governance. As Engineering Manager for Automation, you'll be a key leader responsible for shaping how automation (including the responsible use of AI where appropriate) is built, adopted, and scaled across the organisation, ensuring it continues to support Seccl's growth ambitions over the next 12 months and beyond. On a typical day you will be Partnering closely with Product managers, Compliance, and stakeholders to define priorities, plan delivery, and align initiatives with Seccl's commercial, regulatory, and platform goals. Supporting and challenging technical decision making to ensure solutions are scalable, secure, compliant, and well integrated across the wider platform. Remaining hands on where it adds value through design reviews, architectural spikes, prototyping, or unblocking complex delivery challenges. Working closely with Platform engineering and other domain leaders to ensure strong cross squad collaboration and consistency. Owning delivery health across your domain, including production readiness, incident response, and operational excellence. Using metrics and feedback to continuously improve delivery predictability, system reliability, and team effectiveness. Contributing to broader engineering leadership discussions, helping shape how engineering operates at Seccl as we scale. Leading, coaching, and mentoring engineers within the Automation team to foster a culture of high performance, psychological safety, and continuous improvement. Building and evolving a high impact automation squad, shaping team structure, onboarding, and ways of working to support a growing cross company remit. Providing technical leadership and architectural oversight for automation solutions, including workflow orchestration, integrations, data movement, and responsible application of AI where appropriate. This role's for you if You're an experienced Engineering Manager who has led production teams and is ready to take on a broader, cross company remit with real organisational impact. You have a strong track record of building, coaching, and developing engineers, including shaping ways of working for teams that operate across multiple stakeholders and problem spaces. You're comfortable balancing strategic thinking with hands on execution, and can lead a squad that delivers value across the business rather than within a single product domain. You bring strong communication and stakeholder management skills, and can work effectively with Product, Compliance, and teams across the wider organisation. You're confident working across our tech stack: Node.js, React, MongoDB, AWS, Lambda, Serverless Framework, and JavaScript/TypeScript, and can engage credibly in architectural and technical discussions. You have recent, practical experience working with automation and AI assisted capabilities, and are motivated to continue building and applying these approaches responsibly in production environments. You are confident in Prompt Engineering and verifying that the combination of Prompt + LLM produces acceptable production ready output. You have experience with automation and workflow platforms, and are comfortable onboarding onto new tools and ecosystems. Experience with the Power Platform and its wider ecosystem is desirable, but not required. You're comfortable operating across a mixed technology landscape, integrating automation solutions with APIs, data platforms, and cloud services rather than treating them as isolated tools. You enjoy staying close to the technology and can provide meaningful technical guidance and challenge, without needing to be the primary hands on contributor. You have experience working in regulated or operationally complex environments (such as financial services, fintech, or other compliance heavy domains), and value strong governance, security, and resilience. You care deeply about building automation that delivers real, sustained business value, reducing manual effort, improving consistency, and making complex processes safer and easier to run. You're excited by the opportunity to help shape how automation and AI are used across Seccl as the company continues to grow. This role isn't for you if You rely on a lot of top down direction. You're not comfortable working in a fast paced environment. You struggle to follow through on ideas. You don't like change. What's in it for you We offer a generous mix of benefits for the things that really matter to our people, including: A salary up to £110,000 - dependant on experience + reviewed annually 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave Two volunteering days per year Option to work abroad for up to six weeks a year Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget Length of service award - one month paid sabbatical at eight years 6% employer pension contribution, and life assurance Private medical insurance with AXA Health Enhanced Parental leave MacBook and up to £500 home office set up budget £750 per person learning budget Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace Strong financial wellbeing focus including access to Octopus Money, Octopus Share Incentive Plan and will writing offering via Octopus Legacy Perkbox - Flexi points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts . click apply for full job details

We're all about helping brands turn ideas into impact. Frontify's brand platform transforms how teams organize digital assets, collaborate on projects, and create engaging campaigns. Our people empower thousands of marketers and designers - including teams at Uber, Microsoft, Volkswagen, and Telefónica - to build engaging brands. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy. And we're on the lookout for new team members to share our vision. If you're ready for a brand-new adventure, keep reading! Your Team Your new team is a group of motivated, collaborative, and innovative people. They are Product Managers, Researchers, Analysts, Designers, and Developers from diverse backgrounds. They enjoy working together to create and evolve a well-loved product, while always leaving space for fresh ideas and new approaches. Outside of work, they're parents, gamers, bookworms, adrenaline seekers, and so much more. Your Mission As Director of Product Design, you'll set design strategy and vision, and oversee design execution, guiding your team of about 13 designers from discovery to delivery. You'll lead strategic direction across the design organization-ensuring teams are solving the right problems efficiently-while partnering with Product and Engineering leadership to drive business outcomes. You'll build design capabilities, establish quality standards, and develop designers. All while ensuring our products balance user needs with data-driven business impact. Responsibilities Set strategic design direction across product initiatives, partnering with executive leadership to align design vision with the overall product strategy and business objectives. Build design excellence by establishing quality standards, design principles, and review processes that elevate team output. Organize and optimize the design team to enable efficient collaboration and delivery across product initiatives. Guide complex problem-solving by providing strategic direction to designers tackling ambiguous, high-impact challenges. Champion design standards, establishing and evangelizing inclusive design practices and accessibility requirements across all products. Drive cross-functional alignment, partnering with Product, Engineering, and Research leaders to ensure design, business, and technical strategies are unified. Foster an entrepreneurial culture, cultivating a team environment that embraces rapid experimentation, lean methodologies, and curiosity about emerging technologies like AI. Your Story You can work remotely or hybrid within UK, with access to our offices in St. Gallen and London. You have 10+ years of design experience with SaaS or complex digital products, with proven experience leading design teams. You enjoy managing and developing people, with experience successfully leading a design team of 10+ designers. You move fluidly between high-level strategy and the critical design details that matter. You demonstrate strong strategic thinking with the ability to balance user needs, business goals, and technical constraints. You thrive in a fast-paced environment, and you get more - not less - creative when faced with limits and ambiguity. You have excellent presentation and communication skills, with the ability to influence stakeholders at all levels. You can show work demonstrating strategic, systems thinking, and scalable design solutions. You enjoy working cross-functionally, bringing new ideas to the table, and never being afraid to challenge the status quo. You're expert-level proficient with design tools such as Figma and Adobe Creative Suite. You speak English fluently. We understand that every candidate's experience is different. If you're interested in this role but don't tick all the boxes, we still encourage you to apply. Why join us? Thrive with the tools and support to shape your future at Frontify. Be part of a product that connects brands and people with a human touch. Enjoy flexibility, opportunities to grow, and exposure to innovative technologies and ideas. Join a vibrant, social team-whether you love animals, yoga, or travel, we've got the Slack channels for you! What we offer Private health benefits and health cash plan Pension scheme: 5% matched A minimum of 25 days of annual leave per year Paid educational and wellbeing days off Wellbeing, learning and development, and commuter allowance Home office setup budget- Weekly free office lunch Localized benefits Workation: Work from inspiring locations around the world (45 days annually) Invite to our summer company meet-up Important to us Frontify is a place where authenticity and inclusion thrive, empowering every voice to help shape our future. We're committed to providing a fair and accessible recruitment process. If you have a disability and require reasonable adjustments at any stage, please email or speak with your talent partner. Any information you share will remain confidential. Next steps If there's a fit, you'll meet our Talent Partner to discuss your experience and explore whether Frontify is the right place for you. This description outlines the primary duties of the role, which may evolve in response to business needs and company growth. We're looking for someone comfortable with change and excited to contribute to a dynamic environment. If this sounds like you, come join us and help shape what's next. We may conduct preliminary checks for successful candidates, depending on the role and in line with local laws. We'll share all relevant details during the interview process. We use artificial intelligence (AI) tools to record and transcribe interviews and to help our team review candidate profiles. These tools do not replace human judgment, and all final hiring decisions are made by people. Please see our Privacy Notice for more information. ( )

This role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver significant components of complex research projects, from initial concept to production readiness. Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices. Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship. Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem solving skills. Demonstrated ability to translate research ideas into practical, production ready solutions. Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo). Experience developing and deploying AI models on Android mobile platforms. Proven experience in building and maintaining large scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

Description We are seeking a highly skilled and motivated Lead Java Development Consultant to join our innovative development team. You will be instrumental in designing, developing, and maintaining high performance, scalable applications and services. This role requires deep expertise in modern Java ecosystems, microservice architectures, and distributed systems design patterns. Requirements Core Development Professional software development experience, primarily in Java/JEE. Proficiency with the Spring Framework, including Spring Boot, Spring Cloud, Spring Security, and Spring Data. Experience in designing and building Microservices and highly distributed systems. Kafka & Scaling: Experience with message brokers, guaranteeing message order, and implementing idempotency. Saga Pattern: Practical application of distributed transactions for eventual consistency across microservices. CQRS: Understanding of Command Query Responsibility Segregation and managing eventual consistency. Orchestration vs Choreography: Ability to choose and implement appropriate service coordination strategies. Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong experience designing, documenting, and implementing APIs (RESTful services). DevOps & Cloud Hands-on experience with Cloud Computing platforms (AWS, Azure, or GCP). Proficiency with CI/CD tools, specifically Jenkins, for automation of build, test, and deployment processes. Familiarity with containerization technologies (Docker, Kubernetes). Experience with other SDLC tools (e.g., Git, Jira, Confluence). Job responsibilities Lead the design, development, and deployment of mission-critical applications using Java, Spring Boot, and JEE technologies. Implement and manage microservices, ensuring high availability, performance, and scalability. Design and build robust, secure, and well-documented APIs (REST/gRPC). Collaborate with cross-functional teams (Product, DevOps, QA) to define, design, and ship new features. Drive the continuous integration and continuous deployment (CI/CD) pipeline using tools like Jenkins. Architect and implement solutions on cloud platforms (AWS, Azure, or GCP). Mentor junior engineers and promote best practices in coding, testing, and system design. Participate in code reviews to ensure code quality, maintainability, and adherence to established standards. Troubleshoot and resolve complex production issues across various system components. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you'll do: Set vision and strategy Own and continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue, pivot, or stop. Lead PoCs and MVPs Run time-boxed PoCs (2-8 weeks) and MVPs (8-16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging. Embed Responsible AI practices from the start, including bias assessment, explainability, accessibility, documentation, and impact assessments tailored to higher education. Scale platforms and solutions Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as: Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support. Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails. Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations. Define and enforce guardrails for data and GenAI use: data access controls, PII handling, prompt/data leakage prevention, and content moderation. Drive adoption and change Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans. Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum. Prepare teams and students for AI adoption with training, standard operating procedures, ethical use guidelines, and tailored communications. Manage vendors and financials Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability. Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak. Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production. Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions. Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design. Change leadership: confident working across diverse academic and professional services communities to drive adoption. Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus). Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI). Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD). Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end. Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts. Excellent stakeholder communication skills with the ability to translate technical topics into clear outcomes for non-technical audiences. Experience designing or operating an AI platform or shared AI services used across multiple domains or business units. Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI. Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL). Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

What are we looking for? We are seeking a Broadcast Engineer focussed on testing to be the interface between the Software Development team and the Broadcast Systems Engineering team to ensure the highest standards of product functionality. The role is hybrid with a need to be in Bracknell 2-3 days a week. Occasional travel to UK client sites for support and fault replication may be required. The role This role is the 'hub' within multi-disciplinary Techex teams (Development, Support and Technical) to ensure the highest standards of product quality and ensure technical issues are resolved swiftly. You will a ct as a gateway, testing all functionality released from software development from the perspective of a user engineer. You will be the expert interfacing with our broadcast engineering teams to support the identification and recreation of all bugs, provide workarounds and feed into roadmap DM5 bug fixes and report test results, including defects and issues within a release. You will also be accountable for creating and maintaining internally and externally facing documentation to record: The testing regimen and history of individual module releases. Performance features (including limitations) External release notes for all software releases made either on a beta or GA basis User guides - internally You will have accountability for managing the gate process, controlling when software can be released from the development team, and be satisfied any releases have been suitably tested. What you will need Bachelor's degree in broadcast systems or Broadcast engineering, or a related field. Demonstrable experience of working with software first real-time broadcasting system. Demonstrable experience of Scripting & Automation e.g. Ansible, Terraform, Python Experience of deploying and managing cloud infrastructure in AWS, GCP, Azure, Oracle Experience of using network analysis/packet capture tools such as Wireshark Understanding of real time transport and encapsulation protocols such as RTP, UDP, SRT, RIST, ZIXI, and MPEG-TS Knowledge of audio/video and media standards (e.g. AVC, HEVC, JPEG-XS, ST 2022, ST 2110) Ability to use test equipment/software to analyse MPEG streams Experience of public cloud platform architecture/design Experience with either Influx, Redis, Kafka, Grafana, Kibana Our Values and Benefits Techex has an impressive history with extremely high customer engagement and satisfaction. As a business we have developed consistently through our stellar reputation in the industry. We have recently secured the Great Place to Work accreditation for the second year running, and we seek out individuals who enjoy developing their professional skills and are always learning new things whilst supporting and sharing their learnings with others. We look for candidates who are aligned to our values and who can amplify these more broadly as our business grows. Techex is in a period of accelerated growth, so we seek out talented professionals who are keen to scale up with Techex as we grow fast, whilst maintaining our focus of delivering world class support for our customers. We have a flexible working policy, and you are empowered to work in a way that sets you up to be successful and deliver the necessary impact on your role. This will be an onsite role at our UK Headquarters in Bracknell with some flexibility to work from home when necessary. At Techex we are committed to fostering a diverse, inclusive, and equitable workplace where everyone feels respected, supported, and empowered to succeed. We believe that diversity of thought, background, and experience strengthens our team and drives innovation. We do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. All employment decisions are made based on merit, qualifications, and business needs. If you require any adjustments to support you during the application or interview process, please let us know. We will work with you to make reasonable accommodations that meet your needs and ensure you have a positive experience.