111 jobs found

Summary As part of the M&S Software Engineering team, you'll be joining a well loved historic brand, working on solutions that serve millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering led organisation, with the quality of our engineering team being a key differentiator. This role sits in the Transport team, supporting the Fashion Home & Beauty Supply Chain & Logistics sub domain, which is central to M&S's ambitious plans for growth. Your expertise will help us on this journey, creating solutions for the business that are robust and scalable, with good observability and metrics, following best in class engineering practice. What You'll Do Software Development: Develop, test, and debug software solutions, taking a lead on what good coding practices look like. Technical Leadership: Provide expert guidance on complex projects, ensuring that software solutions align both with our strategy, technology standards, and follow engineering best practice. Architecture and Design: Lead the design of scalable and adaptable software solutions or 3rd party integrations, whilst partnering with colleagues in Architecture. Code Review: Conduct thorough code reviews to ensure adherence to technical standards, maintainability, automated testing and high quality code. Foster a culture of continuous improvement. Collaboration: Gain a deep understanding of our area, working with key business stakeholders, product managers, and other engineers to be able to craft the most effective technical solutions. Mentorship: Mentor and coach engineers at all levels, sharing your knowledge and experience to help them grow and develop their skills. Operational Excellence: Ensure our systems are well monitored, with good alerting, and tooling to support incident response and investigation. Ensure learnings are fed back into the development process. Innovation: Stay abreast of emerging technologies. Propose and implement innovative solutions to improve our operations and enhance customer service. Who You Are Proven track record in full stack engineering developing high performing, robust UI and backend systems and integrations, with a focus on optimisation and scalability. Deep understanding of software engineering principles, patterns, and practices, applied to the development of maintainable and adaptable code. Good understanding of automated testing and performance testing practices and toolsets, and how they are best applied at unit, integration, and system levels, across both back end and front end technologies. Proven hands on experience implementing DevSecOps practices at scale across enterprise wide applications. Technical versatility and proficiency in a range of relevant programming languages (e.g. Java, SQL, JavaScript) and tools (e.g. Git, CI/CD pipelines). Expertise in designing and implementing scalable applications on cloud infrastructure, with a focus on performance and security. Clear communicator who can convey complex technical concepts to diverse audiences, fostering collaboration and understanding. Possess a mentorship mindset with a genuine desire to share knowledge and empower others to reach their full potential. Good knowledge of AI/ML technologies and GenAI tools such as Copilot, with hands on experience implementing GenAI tools and agents across the software development lifecycle. Tech stack The teams use a variety of technologies, including: Languages & Frameworks: Java (Spring Boot), .NET, Angular, Angular JS, React, TypeScript, Playwright, Cucumber, Jmeter, Python, AI/ML Cloud & Infrastructure: Azure IAAS and PAAS services and apps, Docker, Kubernetes, Helm, Terraform Data & Messaging: Kafka (Confluent), IBM MQ/MQFTE, SFTP Databases: SQL Server on Azure API & Integration: Apigee, REST APIs, Windows Services Observability: Dynatrace, Pagerduty, Helix CI/CD & Quality: GitHub Actions, SonarQube, Semgrep, Snyk, Prisma, Github Advanced Security, Qualys Analytics: Power BI What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes

Location London Employment Type Full time Location Type On-site Department Modeling, Applied-ML Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! About the Company: Cohere's team partners with UK public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively with government agencies, NHS trusts, and local authorities to address complex societal challenges while maintaining the highest standards of data security and compliance. As a Software Engineer (SWE) on our Applied ML team you will work directly with UK public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack. In this role, you'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! About the Role: We seek strong SWE's with deep UK public sector expertise to lead GenAI implementation projects. This role requires active SC Clearance (with willingness to obtain DV Clearance if needed). In this role, you will: Own and build large new areas within our product. Work across the backend, frontend, and interact with Large Language Models. Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. Work across the entire product lifecycle from conceptualisation through production. This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js. Experience building ML infrastructure and AI-powered solutions. Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index. A track record in scaling products at hyper-growth startups. Strong written and verbal communication skills. Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Qualifications: Mandatory: Active SC Clearance (DV Clearance preferred) UK citizenship with 8+ years in public sector technology roles Proven experience deploying AI/ML solutions in secure government environments Deep understanding of UK public sector ecosystems (Central/Local Government, NHS, Emergency Services) Familiarity with government cloud strategies (e.g., Crown Hosting, G-Cloud, MODNET) and data security frameworks Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend 6 weeks of vacation (30 working days!)

Jaide Health seeks a Software Engineer to lead AI implementation projects for UK public sector customers. This on-site role requires active SC clearance and expertise in deploying ML solutions. You will engage across the product lifecycle, driving solutions that meet client needs. Ideal candidates possess proficiency in languages like Go and Python, along with a strong understanding of public sector technology. Full-time employees enjoy extensive perks, including health benefits and 30 days of vacation.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable- and valued-contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Roku pioneered TV streaming and continues to innovate and lead the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engage them. Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time on the right marketing channel. The team is focused on turning data, experimentation, and intelligent decisioning into production systems that improve marketing effectiveness at scale. Our mission is to build cutting edge advertising technology and marketing products to support and grow a sustainable advertising business. The team owns server technologies, data platforms, and cloud services that power advertising and marketing use cases. We are recruiting a Senior Machine Learning Engineer to build and enhance intelligent systems that help the marketing team harness the power of data. About the Role The MarTech team at Roku is looking for a seasoned Senior Machine Learning Engineer with a strong background in machine learning and production systems. This role sits in a team working on high-impact problems across marketing and advertising, where machine learning is being applied to improve customer decisioning, creative and campaign performance, and the systems that support experimentation and optimisation. Examples of such problems include creative personalisation for customers, improving ad relevance and targeting, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can work effectively with engineering, product, data science, and commercial stakeholders across Roku. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. This role requires hybrid working from the Roku Manchester office. What You'll Be Doing Data Analysis / Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality. Low-Level Systems Debugging, Performance Measurement & Optimisation: Performance measurement and optimisation on large production clusters. We're Excited If You Have First-hand experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience (we use Spark, Python and Java a lot). Ability to work with large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelor's, Master's or PhD in Computer Science, Statistics or a related field. Ad tech/Mar tech background is a plus. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. For more information visit Position Reference: VN2644 Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Technology Department delivers secure, scalable digital tools, software services, and infrastructure across all business units. Agile development teams align with specific business areas, while other teams handle enterprise wide IT operations, support, security, and architecture. The Data & AI team drives productivity, compliance, and insights by leveraging a robust Data Lakehouse, decentralizing data access, improving client experiences, promoting data driven practices, and ensuring efficient, auditable use of data in line with commercial terms. Role Summary We are seeking a Principle DataOps Architect to own and embed a DataOps way of working across the enterprise data organisation. This is a greenfield role with a clear organisational mandate and significant scope to define how DataOps frameworks, tooling, and engineering standards are applied across our data platforms. The role is accountable for enabling the safe, reliable, and frequent delivery of production grade data capabilities, supporting real time management information, critical systems integration, advanced analytical and ML model refreshes, and accurate, timely data for customer facing AI solutions. Acting as a force multiplier for Data Engineering, AI/ML Engineering, and Analytics teams, the role combines deep technical leadership with senior level stakeholder engagement, shaping a culture of quality, automation, and operational excellence while translating governance, risk, and control requirements into engineering patterns that scale effectively and support delivery at the pace of the business. Responsibilities Design, implement, and operationalise the DataOps target state through consistent frameworks, tooling, and standards aligned with enterprise architecture, governance, and assurance requirements. Build and maintain CI/CD pipelines for data and ML workloads, enabling controlled, automated promotion across development, staging, and production environments. Enforce separation of duties between engineering and production administration to support regulatory, risk, and operational assurance requirements. Define and implement test driven development practices for data pipelines, including unit, integration, and end to end testing. Embed data reliability patterns aligned to the Medallion Architecture (Bronze, Silver, Gold). Implement data quality enforcement, monitoring, and observability frameworks to improve platform trust and stability. Apply software engineering and SDLC best practices consistently across data and ML workloads. Provide hands on technical leadership and design advisory services to Data Engineering, AI/ML Engineering, and Analytics teams, ensuring solutions align with DataOps standards and patterns. Build and maintain reusable DataOps toolkits, templates, and reference architectures to accelerate adoption and consistency. Partner with Governance, Risk, and Control stakeholders to translate policy and regulatory requirements into pragmatic, repeatable engineering controls. Support production readiness, release governance, and post incident learning for data platforms, contributing to continuous improvement in scalability, resilience, and operational excellence. Champion DataOps, analytics, and engineering best practices across technical and business teams, promoting a culture of automation, quality, and disciplined delivery. Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills, Experience & Qualifications Competencies Excellent verbal and written communication skills. A collaborative team player, approachable, self-efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience - Essential Strong experience implementing DataOps or DevOps practices in complex data environments. Proven expertise designing and operating CI/CD pipelines for data and analytics workloads. Hands on experience with Databricks (AWS and/or Azure) in production environments. Strong proficiency in Python and SQL. Experience applying Infrastructure as Code (IaC) using tools such as Terraform. Deep understanding of data platform reliability, observability, and quality controls. Strong knowledge of software engineering best practices and SDLC. Ability to operate as both hands on engineer and strategic enabler. Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Desirable Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands on experience with Orchestration Platforms such as Azure Data Factory and Apache Airflow. Databricks Asset Bundles. Power BI. Data Transformation Platforms such as dbt and Databricks Lakeflow. Experience with Azure DevOps (ADO), Bitbucket, and Git based workflows. Advanced use of VS Code and developer productivity tooling (e.g. GitHub CoPilot). Experience supporting ML pipelines and model lifecycle operations. Prior involvement in building or scaling enterprise data platforms. Databricks Certified Data Engineer Professional. DAMA Certified Data Management Professional (CDMP). Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also . click apply for full job details

About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're looking for Full Stack Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and interfaces that are a pleasure for both users and other engineers to work with. You won't be building AI models-you'll be building everything around them: the platform, workflows, user facing experiences, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on. We work deliberately and deeply. There's no separation between "building it" and "shipping it"-you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing. What You'll Do Design and build platform systems in Python (FastAPI) - from API contracts to database schema and infrastructure - and high quality user facing experiences in TypeScript and React, with an emphasis on clean component design, strong typing, and maintainable frontends. Build shared TypeScript and Python libraries, component systems, and internal tooling that make the rest of the engineering team more productive. Define and enforce patterns, shared types, and contracts across the frontend and API boundary. Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets. You might design a schema in the morning, build a React component in the afternoon, and debug a deployment issue before end of day. Contribute to the direction and design of our product. Work closely with design, reason clearly about interface decisions, and participate in weekly product meetings to understand how customers and forward deployed engineers use what you build. Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems. Have direct influence on technical direction; choose tools, set patterns, and establish conventions the team will build on for years. Collaborate daily with a small, high caliber team of engineers and AI specialists. What We're Looking For 3+ years of experience in software engineering (but a computer science degree is not necessarily required). A love of writing Python and TypeScript to a genuinely high standard - well modeled, well typed, and well documented. Strong typing feels like a superpower, not a chore. You light up when designing a clean database schema and take real pride in getting data models right. You have good visual and interaction judgment, even if you're not a designer by title. You've built libraries, SDKs, or internal tooling that made other developers' lives easier (and you've enjoyed it). You're at your best when you own a problem end to end-comfortable with ambiguity and energized by turning a vague problem into a well scoped solution. You're drawn to building foundational systems from scratch-greenfield work where your decisions compound over time excites you. Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role-it might be a better fit. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we're building A Few Details Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.

About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed. Our Purpose: At WeBuild-AI, we're not just building data architectures-we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation , and we're looking for visionaries who share our passion for pushing boundaries. Role Overview: As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration. Key Responsibilities: Work with clients to understand their data landscape and transformation needs. Establish data strategy roadmaps and build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control planes for structured and unstructured data interaction for AI systems. Collaborate with AI Engineers to ensure data structures support advanced AI capabilities. Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle.(e.g. Data Governance & Data Quality Agents ") Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers. Required Skills & Experience: You need to be equally adept at designing data driven platforms , as well as getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication skills. Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries. The Mindset We Value: Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale. Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge. Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey. Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes. Growth Opportunities: Expand your expertise across multiple cloud platforms and emerging data technologies Gain certification in cutting-edge AI, data and knowledge graph technologies Work directly with enterprise leadership to shape AI strategy Develop deep specialisation in industry-specific solutions Contribute to our thought leadership and IP development Shape the future direction of our Pathway platform We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart. This role is hybrid and we come into our London based office 3 days a week.

Summary As part of the M&S Software Engineering team, you'll be joining a well-loved historic brand, working on solutions that serve millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering-led organisation, with the quality of our engineering team being a key differentiator. This role sits in the Transport team, supporting the Fashion Home & Beauty (FH&B) Supply Chain & Logistics sub-domain, which is central to M&S's ambitious plans for growth. Your expertise will help us on this journey, creating solutions for the business that are robust and scalable, with good observability and metrics, following best-in-class engineering practice. What You'll Do Software Development: Develop, test, and debug software solutions, taking a lead on what good coding practices look like. Technical Leadership: Provide expert guidance on complex projects, ensuring that software solutions align both with our strategy, technology standards, and follow engineering best practice. Architecture and Design: Lead the design of scalable and adaptable software solutions or 3rd party integrations, whilst partnering with colleagues in Architecture. Code Review: Conduct thorough code reviews to ensure adherence to technical standards, maintainability, automated testing and high-quality code. Foster a culture of continuous improvement. Collaboration: Gain a deep understanding of our area, working with key business stakeholders, product managers, and other engineers to be able to craft the most effective technical solutions. Mentorship: Mentor and coach engineers at all levels, sharing your knowledge and experience to help them grow and develop their skills. Operational Excellence: Ensure our systems are well monitored, with good alerting, and tooling to support incident response and investigation. Ensure learnings are fed back into the development process. Innovation: Stay abreast of emerging technologies. Propose and implement innovative solutions to improve our operations and enhance customer service. Who You Are Proven track record in full stack engineering developing high-performing, robust UI and backend systems and integrations, with a focus on optimisation and scalability. Deep understanding of software engineering principles, patterns, and practices, applied to the development of maintainable and adaptable code. Good understanding of automated testing and performance testing practices and toolsets, and how they are best applied at unit, integration, and system levels, across both back-end and front-end technologies. Proven hands-on experience implementing DevSecOps practices at scale across enterprise-wide applications. Technical versatility and proficiency in a range of relevant programming languages (e.g. Java, SQL, JavaScript) and tools (e.g. Git, CI/CD pipelines). Expertise in designing and implementing scalable applications on cloud infrastructure, with a focus on performance and security. Clear communicator who can convey complex technical concepts to diverse audiences, fostering collaboration and understanding. Possess a mentorship mindset with a genuine desire to share knowledge and empower others to reach their full potential. Good knowledge of AI/ML technologies and GenAI tools such as Copilot, with hands on experience implementing GenAI tools and agents across the software development lifecycle. Desirable Experience Knowledge of the Retail domain, particularly around Supply Chain & transportation, multi channel transportation including deliveries to/from Suppliers, Distribution Centres, Retail, Ecom etc. Integration of freight and haulier systems. Integration with third party transport planning and transport execution systems. Tech stack The teams use a variety of technologies, including: Languages & Frameworks: Java (Spring Boot), .NET, Angular, Angular JS, React, TypeScript, Playwright, Cucumber, Jmeter, Python, AI/ML Cloud & Infrastructure: Azure IAAS and PAAS services and apps, Docker, Kubernetes, Helm, Terraform Data & Messaging: Kafka (Confluent), IBM MQ/MQFTE, SFTP Databases: SQL Server on Azure API & Integration: Apigee, REST APIs, Windows Services Observability: Dynatrace, Pagerduty, Helix CI/CD & Quality: GitHub Actions, SonarQube, Semgrep, Snyk, Prisma, Github Advanced Security, Qualys Analytics: Power BI What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes. Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance. Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes. Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers brilliantly. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.

Summary As part of the M&S Software Engineering team, you'll be joining a well loved historic brand, working on solutions that serve millions of loyal customers and thousands of colleagues! With ethical values that run right through the company's core and technology leaders that truly understand software engineers and engineering, it's an exciting time as we're redefining ourselves into a digital first and engineering led organisation, with the quality of our engineering team being a key differentiator. This role sits in the Warehouse Continuity team, supporting the Fashion Home & Beauty (FH&B) Supply Chain & Logistics sub domain, which is central to M&S's ambitious plans for growth. Your expertise will help us on this journey, creating solutions for the business that are robust and scalable, with good observability and metrics, following best in class engineering practice. What You'll Do Software Development: Develop, test, and debug software solutions, taking a lead on what good coding practices look like. Technical Leadership: Provide expert guidance on complex projects, ensuring that software solutions align both with our strategy, technology standards, and follow engineering best practice. Architecture and Design: Lead the design of scalable and adaptable software solutions or 3rd party integrations, whilst partnering with colleagues in Architecture. Code Review: Conduct thorough code reviews to ensure adherence to technical standards, maintainability, automated testing and high quality code. Foster a culture of continuous improvement. Collaboration: Gain a deep understanding of our area, working with key business stakeholders, product managers, and other engineers to be able to craft the most effective technical solutions. Mentorship: Mentor and coach engineers at all levels, sharing your knowledge and experience to help them grow and develop their skills. Operational Excellence: Ensure our systems are well monitored, with good alerting, and tooling to support incident response and investigation. Ensure learnings are fed back into the development process. Innovation: Stay abreast of emerging technologies. Propose and implement innovative solutions to improve our operations and enhance customer service. Who You Are Proven track record in full stack engineering developing high performing, robust UI and backend systems and integrations, with a focus on optimisation and scalability. Deep understanding of software engineering principles, patterns, and practices, applied to the development of maintainable and adaptable code. Good understanding of automated testing and performance testing practices and toolsets, and how they are best applied at unit, integration, and system levels, across both back end and front end technologies. Proven hands on experience implementing DevSecOps practices at scale across enterprise wide applications. Technical versatility and proficiency in a range of relevant programming languages (e.g. Java, SQL, JavaScript) and tools (e.g. Git, CI/CD pipelines). Expertise in designing and implementing scalable applications on cloud infrastructure, with a focus on performance and security. Clear communicator who can convey complex technical concepts to diverse audiences, fostering collaboration and understanding. Possess a mentorship mindset with a genuine desire to share knowledge and empower others to reach their full potential. Good knowledge of AI/ML technologies and GenAI tools such as Copilot, with hands on experience implementing GenAI tools and agents across the software development lifecycle. Desirable Experience Knowledge of the Retail domain, particularly around Supply Chain & transportation, multi channel transportation including deliveries to/from Suppliers, Distribution Centres, Retail, Ecom etc. Integration of freight and haulier systems. Integration with third party transport planning and transport execution systems. Warehouse space, WMS systems, and experience with Oracle based systems with complex and heavily coupled on Stored Procedures, with the aim to modernize the area. Tech Stack The teams use a variety of technologies, including: Languages & Frameworks: PL/SQL, Java (Spring Boot), .NET, Angular, Angular JS, React, TypeScript, Playwright, Cucumber, Jmeter, Python, AI/ML Cloud & Infrastructure: Azure IAAS and PAAS services and apps, Docker, Kubernetes, Helm, Terraform Data & Messaging: Kafka (Confluent), IBM MQ/MQFTE, SFTP Databases: Oracle and SQL Server on Azure API & Integration: Apigee, REST APIs, Windows Services Observability: Dynatrace, Pagerduty, Helix CI/CD & Quality: GitHub Actions, SonarQube, Semgrep, Snyk, Prisma, Github Advanced Security, Qualys Analytics: Power BI What's in it for you Being a part of M&S is exactly that - becoming a part and playing your part. We're an inclusive, dynamic, exciting, and always evolving business built on core values. Here are some of the benefits we offer that make working for M&S just that little bit more special 20% Colleague discount on most things from furniture, fashion and food. A first class welcome to M&S with a tailored induction and a wide range of training schemes to help with your learning and development. Having options to progress is something we're proud of at M&S. Attractive annual bonus, based on company performance and personal objectives. Competitive holiday entitlement with the potential to buy extra holiday days! Amazing perks and discounts via our M&S Choices website. Including GymSave - that offers up to 25% off Gym Memberships and the option to become an M&S Shareholder using our ShareSave & ShareBuy Schemes Charity Volunteer Day - A paid day away from work to support your chosen charity. A very generous Defined Contribution Pension Scheme and Life Assurance Every colleague at M&S has access to a fantastic range of wellbeing support - this includes access to our 24/7 Virtual GP, PAM Assist to support you & your family as well as many other schemes Everyone's welcome M&S is ready to push boundaries to lead the retail industry into a greener, speedier, more inspiring digital era. That's why we're revolutionising how we work and offering our most exciting opportunities yet. There's never been a better time to be part of our team. Marks & Spencer aims to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make an immediate impact. We're an in person business and have core collaboration days in our Support Centre each week. For most teams, this is 3 working days where we come together to collaborate, innovate, and serve our customers brilliantly. We are committed to an active Inclusion, Diversity and Equal Opportunities Policy, which starts with our recruitment and selection process, and we are happy to talk flexible working. If you consider yourself to require reasonable adjustments to any part of our recruitment process, we invite you to share those requirements with us when completing your application. We will make every effort to ensure your needs are met to provide a fair and transparent process of assessment.

The group you'll be a part of Metior product line works on the development of advanced systems for process diagnostics and metrology of semiconductor wafers. The group falls under CSBG (Customer Support Business Group) upgrades and metrology enabling our customers with premier customer support throughout their lifecycle with Lam. Along with R&D innovation, we drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes. The impact you'll make We are seeking a seasoned and visionary data scientist to lead the design, development and implementation of advanced computer vision as well as machine learning/deep learning algorithms. Ideally a data scientist with a physics background, the candidate is expected to lead the development of Metior's equipment intelligence, AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting edge AI/ML algorithms. This position requires understanding of the productization and deployment of ML solutions. What you'll do Responsibilities Design, Development and implementation of advanced machine learning algorithms as well as physics based software solutions for our hybrid metrology systems including optical metrology solutions. Design and development of sophisticated algorithms for image segmentation and classification specific to our metrology systems. Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies. Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem. Hands On ML model development and derive the right solutions for complex problems. Rapid prototyping and validation of new machine learning as well as deep learning algorithms. Work closely with software, system engineering and data science teams to integrate algorithms into product systems as well as contributing to cross functional innovations. Work with internal and external customer and stakeholders to define the requirements for next generation ML algorithm requirements to solve challenging customer problems. Datascience related escalation management and troubleshooting potential issues from the field systems. Prepare presentations to all stakeholders and be able to host design reviews. Collaborate effectively with global development teams to ensure seamless deployment and continuous improvement. Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities. Who we're looking for Technical Skills Extensive experience with data analytics, supervised and unsupervised machine learning including regression models, decision trees, feature engineering, frameworks like PyTorch, TensorFlow, SciKit learn etc. Familiarity with MLOps with Databricks is a strong advantage. Strong background in optical physics, numerical simulations, advanced signal processing, computer vision and spectroscopy. Experience working with and handling huge datasets from advanced sensors and imaging systems. Proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks. Familiarity with C# is an added advantage. Ability to analyze large datasets and validate models for accuracy, robustness and reliability. Experience with ML deployment and monitoring strategies to track model performance over time and address issues proactively. Ability to work cross functionally and communicate complex modelling concepts to mixed engineering audiences. Curiosity driven and a structured problem solver. Background in parallel/distributed computing, profiling and optimization for computation and memory. Experience working in the development of semiconductor capital equipment systems is preferable. Qualifications PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with strong modelling/analytical background. A minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ('Lam' or the 'Company') is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On site Flex and Virtual Flex. 'On site Flex' you'll work 3+ days per week on site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1 2 days per week on site at a Lam or customer/supplier location, and remotely the rest of the time.

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. We are looking for a researcher with a track record in successfully developing and publishing state of the art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Responsibilities Perform and publish ML research for the evaluation and development of biomedical foundation models across various healthcare modalities, including multimodal data. Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery, and challenging biomedical datasets. Support different teams across AIML and GSK in building ethical ML pipelines and software products. Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK's responsible AI strategy. Qualifications A PhD equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional ML research engineer experience. A track record of performing high quality ML research, evidenced by publications at major ML venues. A strong foundation in machine learning and experience with state of the art modelling approaches, especially foundation models. Proven programming expertise in Python and experience working with complex and/or multi modal datasets. Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow). Keenness to learn fast in a new domain and to develop your ML and software engineering skills. Proactive communication and problem solving skills, and proven ability to collaborate with colleagues of various backgrounds and levels of seniority. Preferred Qualifications Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open source projects. Background or interest in drug discovery, biology, medicine, or ethics. Commitment to Diversity and Inclusion GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law.

Summary Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state of the art privacy enhancing technologies for measurement and machine learning. We're looking for talented engineers to join us in this work. Description We are looking for an experienced on device software engineer to join our team and help us improve privacy preserving technologies to Apple's products. Responsibilities Collaborate with cross functional engineers to design and develop end to end measurement systems that meet Apple's industry leading privacy standards. Develop software that runs on billions of Apple devices, that enable training and evaluation of generative AI systems while preserving user privacy. Operate independently to solve complex problems at the intersection of privacy preserving technology, applied cryptography and machine learning. Successful candidates must possess a strong technical background and a keen interest or experience in developing software on iOS or similar resource constrained systems. Strong interpersonal skills and the ability to influence and build consensus are essential for success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill. Minimum Qualifications Strong hands on experience in software development, with proficiency in one or more programming languages such as Python, Swift, C++. Industry experience of iOS development, or experience of development on other embedded systems. Strong problem solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company. A track record of delivering large scale software systems from ideation and design through production deployment and operation. Preferred Qualifications Proven industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field. Passion for protecting customer privacy. Experience with privacy enchancing technologies such as differential privacy, multi party computation, trusted execution environment, private federated learning, homomorphic encryption. Familiar with or exposure to machine learning model post training, evaluating, and inference. Equal Opportunity & Accessibility At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. Apple is a registered Disability Confident employer and will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. We believe accessibility is a fundamental human right. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

AI Engineers & Technical AI Leaders Scotland Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services or regulated industry experience essential Strong communication and stakeholder skills Open to candidates from Engineer through to Senior Manager level.

AI Engineers & Technical AI Leaders Manchester Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking. The focus is applied AI engineering, building production grade AI solutions across banking, risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services or regulated industry experience essential Strong communication and stakeholder skills Open to candidates from Engineer through to Senior Manager level.