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Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements. Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives. Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement. Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills. Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Who we are: Charles River Development (CRD) is the FinTech division of State Street. Together with State Street's Middle and Back-office services, Charles River's cloud-based Front Office technology forms the foundation of the State Street Alpha Platform, the first front-to-back solution in the industry. Our vision is to be the world's leading investment platform, shaping the future of the industry and driving new levels of technology-led innovation, resiliency, efficiency and growth for investors and the people they serve. CRD Engineering organization is innovating and transforming the platform by moving away from monolithic software to utilising next generation cloud-based technology that leverages Microsoft Azure, Kafka, Snowflake, etc. Industry momentum has seen CRD grow over 135% in headcount over the last 5 years, and we continue to grow. As a digital innovation leader, we invest into our solutions, processes, systems, and talent. As a part of our talent growth strategy, CRD Engineering is actively hiring in Dublin as we are investing in growing our European presence. Summary: This role will manage a small number of QA team members while also working as a senior member of a Scrum team to execute the overall quality plan for one of Charles River's products. Provide support and assistance to customers and other teams within Charles River. The candidate should be a sharp automation engineer with strong problem-solving skills and a solid software testing foundation. This role requires a talented, detail oriented, enthusiastic individual who is passionate about quality with the ability to grasp tough issues quickly and deliver well engineered, high-quality solutions. We are looking for a strong software engineer to build out the next generation of our software test automation infrastructure as part of our Quality Assurance Infrastructure team. The candidate will be responsible for developing, delivering and supporting the software infrastructure that enables automated product validation. This position provides services for planning and the execution of central automated regression runs for all product departments. In addition, this candidate is responsible for maintaining and expanding the labs which host both automated and manual testing as well as conducting staging and certification of the product media during the ship-stage of a release. Financial services industry experience is preferred. Responsibilities: Manage a team of QA engineers Work closely with the scrum master, product owner, architect, business analysts, product specialists, developers and other project team members to assist in carrying out the software quality responsibilities of the Scrum team Create comprehensive test automation scripts from business requirements and functional specifications documents for product features of moderate complexity Execute manual and automated functional, integration, regression, and performance tests Maintain automated and manual test script libraries for functional, integration, regression, and performance testing Align with the Software Development Life Cycle practices, comply with Information Security and Data Governance practices Interpret results of automation tests and document software defects in issue tracking system; proactively communicate issues with developers and other project team members Provide testing leadership by identifying opportunities for improvement in the Scrum team's QA methodology, innovate by researching and recommending new approaches to automation of testing, including use of Artificial Intelligence Adhere to a testing schedule to ensure efficient and effective product delivery Actively participate in the agile software development process by adhering to the CRD Scrum methodology including attending all daily standups, sprint planning, backlog grooming, and retrospectives Participate in "testathon" activities as required by releases Guide and mentor junior staff in proper creation of automated test scripts. Financial services industry experience is preferred. Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study or Business with an MIS background. MS degree strongly preferred. Experience: 6 - 9 years of experience in software testing in a process driven technology environment Experience managing and mentoring small teams of up to 6-10 people Demonstrated experience programming with Java, C#, SQL and shell scripting languages such as PowerShell and Bash Demonstrated experience implementing automation tests with industry standard tools. Demonstrated experience implementing and executing automation test scripts against web, native/desktop applications, APIs and batch applications. Demonstrated experience using test cases, scripts, and automated test tools for verifying requirements on multi-tier applications Demonstrated ability translating business requirements into comprehensive functional and technical test plans Knowledgeable in one or more CRD functional areas strongly desired A minimum of 6 years working with an Agile development methodology strongly desired Effective written and verbal communication. Employees are expected to work from the office 2 days a week. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You'll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer.

Data Scientist / Machine Learning Engineer Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry's leading companies, our global talent has helped many clients achieve their goals. The 3 G's of RE: "Get Shit Done." "Get Over Shit." "Give a Shit." Data Scientist / Machine Learning Engineer Data is at the heart of everything we do, and as such, we are building a multi-disciplined data team to help us achieve our business goals. This Data Science/Machine Learning role will drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. This role also exists to provide technical oversight of and direction for the design, development, and implementation of value-generating data science solutions across the business. At its core, this role will help build, train and deploy machine learning models as well as explore our data to find opportunities and features to support ML. Tech Stack (Must-Haves): Demonstrable experience of critical thinking, communication and problem-solving ability. Experience working in an e-commerce/retail market would be beneficial. Strong stakeholder management skills: working collaboratively with Data Science, System, DevOps, Data and Software Engineering teams. Extensive experience leading or delivering commercially driven Machine Learning projects from inception through to deployment and maintenance. Proven experience building Machine Learning projects in a Cloud-based data platform (AWS, MS Azure or GCP). Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to non-technical stakeholders (Data Engineering to the Business) Extensive experience (5+ years) with Python and/or SQL Proven expertise and experience of Shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionality reduction approaches Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider data warehousing, data architecture of data modelling concepts. Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production. Working knowledge of CI/CD practices. Tech Stack (Nice-to-Haves): Experience productionising recommender engines and ensemble ML in Google Cloud Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud. Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space. Confident to challenge, and receptive to being challenged. Able to establish what does/doesn't align to business/functional strategies/priorities and communicate dependencies clearly. Experience with the Google Cloud Stack (BigQuery, Dataform etc) as that is the main stack in play for this role Experience working with CI/CD pipelines through Github Experience working in a large data transformation / migration Knowledge of advanced analytics techniques, such as predictive modeling and machine learning Experience taking ML solutions into production, and exposure to data storage and processing within one of the three major cloud providers (GCP, Azure or AWS). Passionate about data science with the ability to articulate the potential value of the field in an evolving business landscape. Knowledge of Deep Learning techniques Able to establish what does/does not align to business/functional strategies/priorities and communicate dependencies clearly. Able to drive the adoption of best practice approaches to data science solution development, coaching, and supporting the wider data science team. Scope of Responsibility: Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production. Working closely with business stakeholders to translate high-level business problems into the design of value-adding machine learning solutions and driving their implementation and adoption across the business Supporting machine learning model deployment into production and monitoring of the data science solutions lifecycle, including new and existing ML models post deployment. Designing, developing, and maintaining data science models and solutions, as well as explaining the concepts to non technical audiences. Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle. Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work. Developing an MLOps strategy aligned to best practice and existing DevOps practices in the company. Enhancing existing machine learning products and driving innovation through thought leadership, by staying abreast with market trends and novel research in this space. Embedding new machine learning solutions into the business through coaching, training, and providing experiment design oversight to data scientists. Working with third party partners and software providers to improve and/or implement new data science solutions and processes. Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business. Acting as a trusted advisor to business teams on data science and machine learning, bridging any gaps in understanding and literacy. Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy - our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Job Description We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be successful in the role, you will need to have extensive experience in data science projects and have built the professional skill to understand when an approach to a project is not working, to pause and change approach. The Data Science department is currently a smaller team, with an ambition to grow, with a mix of a Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself. We are not an isolated function, so expect to work closely with business stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered code Proven experience working with ML engineers and production systems (including Cloud platforms) Proven ability to analyse large sets and experience-built ML/AI models in production with the ability to translate them into insights and actionable business recommendations Great technical and commercial communication and collaboration skills with some presentation skills Passion for learning and keeping abreast of new technologies and data models Additional Information Join us to unlock benefits and opportunities that will boost your career journey in a vibrant, inclusive and fulfilling work environment - so you can is important From hybrid working and colleague support networks to menopause support and weekly PepTalks, we're here for you. We'll also invest in your growth by providing development opportunities, leadership training and cutting-edge industry certifications so you have the tools and resources to help you work, win and grow with us. Immerse yourself in new cultures and gain international exposure through our global business. Collaborate with colleagues from around the globe. From pensions to bonus schemes, and private medical insurance to life insurance - we've got you covered. Our benefits vary by brand and/or location. Please have a chat with your local Talent Acquisition specialist to find out what's in place in your location. The Rank Group are committed to being an inclusive employer, ensuring that we better understand and meet the needs and requirements of our candidates and customers. We aim to do this by facilitating fair and equal access to our services. If you require a reasonable adjustment to be made, please reach out to let us know ahead of your interview.

Senior Customer Experience Engineer (SRE) Description For Senior Customer Experience Engineer (SRE) Microsoft's Azure Customer Experience (CXP) team is seeking a Senior Customer Experience Engineer (SRE) to drive reliability engineering excellence for their cloud platform. This role combines traditional SRE responsibilities with a strong focus on customer experience and satisfaction. The position involves working in a fast-paced, agile environment where you'll be empowered to shape the future of Microsoft's cloud services. The team operates with a "no dead-ends", "whatever it takes", and "biased for action" philosophy, focusing on customer success through the Microsoft Cloud. As an SRE, you'll be responsible for maintaining and improving service reliability, availability, and performance. Key responsibilities include building automation solutions, collaborating with customers to address pain points, implementing service telemetry, and providing operational insights to product teams. The role requires expertise in large-scale distributed systems and the ability to handle complex technical challenges. The position offers the flexibility of up to 100% remote work, though it requires 25-50% travel for customer site visits in the South West UK. You'll be working with cutting-edge technology alongside world-class engineers, with access to Microsoft's comprehensive benefits package including industry-leading healthcare, educational resources, and investment options. This is an excellent opportunity for an experienced engineer who combines technical expertise with customer-facing skills and wants to make a significant impact on Microsoft's cloud infrastructure while working with enterprise customers. The role offers both technical challenges and the opportunity to directly influence product development through customer feedback and operational insights. Last updated 5 days ago Collaborate with SRE teams on building and enhancing tooling and automation solutions Work with customers to understand pain points around Supportability and SLO attainment Be the single point of contact for enterprise customer service escalations Implement changes to service telemetry for automation consumption Enhance customer facing experience through proactive alerting Analyze data and provide operational insights to Design and Product teams Requirements For Senior Customer Experience Engineer (SRE) In-depth technical experience in software engineering, network engineering, or systems administration Operational experience in improving Service Reliability, Availability and Performance Systematic problem-solving approach with effective communication skills Expertise in analyzing and troubleshooting large-scale distributed systems Ability to travel to customer site regularly in South West UK Prior HPC knowledge preferred Benefits For Senior Customer Experience Engineer (SRE) Medical Insurance Vision Insurance Education Budget 401k Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Jobs Related To Microsoft Senior Customer Experience Engineer (SRE) Senior Site Reliability Engineer position at Microsoft's Halo Studios, focusing on game development infrastructure, cloud services, and automation, offering hybrid work in Redmond, WA. Senior Site Reliability Engineer role at Microsoft focusing on M365 Security services, combining software engineering with operations to improve system reliability and performance. Senior Site Reliability Engineer position at Oracle Health, focusing on building reliable, scalable cloud infrastructure and ensuring operational excellence. Senior Site Reliability Engineer position at Veeva Systems focusing on ensuring scalability and reliability of enterprise applications using Java and modern open-source technologies. Senior Site Reliability Engineer position at Veeva Systems, focusing on ensuring scalability and reliability of enterprise applications using Java and modern open-source technologies.

Iprova is a pioneering and fast-growing technology start-up with offices in Lausanne, Switzerland, and Cambridge and London, UK. We collaborate with some of the world's leading technology companies across North America, Europe, and Japan to develop advanced AI algorithms, enabling faster and more disruptive product and service innovations. The Role Join our dynamic technical team as a Senior Full Stack Engineer and play a crucial role in building and scaling our innovative software infrastructure. Your responsibilities will include: Designing and implementing robust, scalable web applications Architecting, developing, and optimizing backend systems and APIs Deploying and managing cloud infrastructure on Azure Designing and maintaining containerized applications with Docker and Kubernetes Implementing event-driven architectures using Kafka or similar technologies Working with databases such as Redis, Elasticsearch, Neo4j, and PostgreSQL Gaining experience in product ownership related to UI/UX development Skills and Requirements Candidates should have: Bachelor's or Master's degree in Computer Science, Software Engineering, or related field Proven experience with Kubernetes and Docker Hands-on experience managing infrastructure on AWS, Azure, or GCP Strong understanding of event streaming and messaging with Kafka Expertise in databases like Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs with frameworks such as Django, FastAPI, Flask, or Express Commercial experience in front-end development, preferably with Vue.js Comfort with Unix systems Strong problem-solving skills and a collaborative mindset Ability to work from the Shoreditch office 2-3 days a week We Value We appreciate: Ability to collaborate across cross-functional teams Passion for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong initiative and product ownership Experience with AI and machine learning integration (preferred) What's in It for You Benefits include: Working with cutting-edge web and cloud technologies An inclusive work culture emphasizing mutual respect Flexible working hours promoting work-life balance Developing software that drives technological innovation Opportunities for continuous professional development Iprova Culture Iprova is composed of talented individuals from diverse backgrounds, including machine learning engineers and invention developers, united by a desire to create innovative software products that generate measurable business value. We offer an environment where you can explore, learn, grow, and experiment, valued for your unique contributions. Our teams are the core of our success-big enough to make a difference, yet small enough to foster close relationships, fun, flexibility, and appreciation for each individual. Application Please send your CV and a cover letter explaining your interest and suitability for the role to emailprotected . Contract Type: Permanent Location: London, UK Note During periods of high application volume, we will only respond to shortlisted candidates. Your personal data will be used solely for recruitment purposes and treated confidentially upon submission.

Senior Research Scientist (LLM post training) United Kingdom PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first LLMs, and more. As a Senior Research Scientist at PolyAI, you'll lead impactful research projects from ideation through to deployment. You'll be driving innovation in how we train and adapt LLMs for real-world conversations - spanning voice, text, and multimodal contexts. You'll work on frontier techniques such as: Conversational reinforcement learning Streaming and continuous turn-taking Audio-native LLMs Distillation of reasoning models Long-context You'll also play a key role in shaping the scientific direction of our research, mentoring junior colleagues, and collaborating cross-functionally to bring research into production. Responsibilities: Lead and execute complex research projects with clear business impact. Design and implement novel post-training strategies including preference tuning, reward modeling, and synthetic supervision. Develop innovative model architectures and training approaches for conversational AI, including speech-aware and multimodal models. Conduct empirical studies to assess model performance in live deployments and iterate quickly based on real-world data. Generate, collect, and annotate training data - including synthetic and real-world conversational datasets - with an eye for quality and bias mitigation. Design robust evaluation metrics and benchmarks for LLM-based assistants in customer service domains. Work closely with engineering and product teams to integrate research into production environments. Collaborate with legal and compliance teams to ensure responsible use of data and models. Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning. Requirements: PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field. 5+ years of hands-on experience in deep learning. Proven track record of research innovation, including published work or deployed systems. Strong programming skills in Python and deep learning frameworks like PyTorch. Demonstrated expertise in at least one domain area such as reinforcement learning, conversational AI, audio modelling, or LLM alignment. Experience leading projects end-to-end, from ideation to deployment. Excellent communication skills with the ability to write clear technical documents and explain complex concepts to diverse audiences. Comfortable working in ambiguity and driving clarity through experimentation and data. Preferred Qualifications: Experience with speech technologies such as ASR and TTS. Familiarity with cloud environments (AWS, GCP, Azure). Exposure to RLHF, reward modelling, or human preference data collection. Prior work on real-time systems, streaming inference, or memory-efficient model deployment. Benefits Participation in the company's employee share options plan 25 days holiday, plus bank holidays Flexible working from home policy Work from outside of the UK for up to 6 months each year Enhanced parental leave Bike2Work scheme Annual learning and development allowance One-off WFH allowance when you join Company-funded fertility and family-forming programmes Menopause care programme with Maven Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs At PolyAI, we take great pride in our values-they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best: We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership: We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve : We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action: Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit: We are all working toward the same goal. If we dont agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people: We are hyper-focused on delivering the best automated experiences possible so that we can empower people to get exactly what they need, when they need it. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here . This document provides important information regarding how we handle your personal data throughout the recruitment journey. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Start date year End date year LinkedIn Profile What are your salary expectations for this role? What is your current notice period? Where did you go to university? What level of qualification did you achieve? What did you study? When did/do you graduate? 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# Site Reliability EngineerRemote - APAC / EngineeringThe Tyk API Management platform is helping to drive the connected world and power new products and services. We're changing the way that organisations connect any number of their systems and services.Whether internal, external, public or highly encrypted systems, Tyk helps businesses drive value across the retail, finance, telecoms, healthcare, or media industries (to name just a few!)If you've banked online, used an app to check the news, or perhaps even driven a connected car, API's, and by extension, Tyk, make that possible. Founded in 2015 with offices in London - UK, London - Ontario, Atlanta and Singapore, we have many thousands of users of our B2B platform across the globe. Brands using Tyk range from Lotte, Bell, T Mobile, to RBS, Capital One and Vinci. We have a varied user base hailing from every continent - even Antarctica. Our MissionTyk is on a mission to connect every system in the world. We've started by building an API Management platform. Total flexibility, default remote, radical responsibility If this sounds like an environment that you believe could work for you then read on to find out more. The role: We're looking for a Site Reliability Engineer to manage, maintain, improve and provide support on our platform. You will be curious by nature, always looking for ways to improve, as we will look to you for new ideas, solutions and metrics on how we can improve the platform. You will also be our first line of incident management to our clients and will help define our response going forward. This is a great opportunity to become an integral part of Tyk as we continue on our journey.As a remote first company, you will have the opportunity to work with an industry leading distributed team. Having access to expertise from across the globe will give you both the support and opportunity to help shape not only Tyk's Cloud platform but also the Tyk as a whole as we continue to grow. Here's what you'll be responsible for: Maintaining global Tyk Cloud within SL(A/I/O)s you will help to define Identifying reliability issues and working together with your squad to solve them Identifying and introducing new metrics and building relevant dashboards Participating in the on-call rotation Working with your squad to expand multi-region and multi-cloud reach of the platform Documenting operational knowledge Conducting post-incident analysis Automating common tasks Be a key shaper and contributor to our continuous improvement agenda - be it the clarity of our user stories, how we estimate, communicate with other teams or customers - we expect this role to be advocate of continuous improvement Reliability of our new global Tyk Cloud platform Automation of operations and support Writing and maintaining documentation on SRE processes and policies Recommending and implementing ways of driving operational efficiency and driving down our cost to run, without impacting service Assisting in penetration testing for Cloud through liaising with our provider, providing technical details, and environment setup Incident management Here's what we're looking for: Experience Strong collaboration skills Launching and operating production scale kubernetes clusters Designing and operating infrastructure on AWS and other providers Operating MongoDB (or other document database) clusters Operating Redis (or other key-value storage) clusters Administering Linux servers Maintaining distributed software Operating Prometheus and Grafana Operating logging collection and analysis systems Participating in the on-call rotation(4:00am - 16:00pm UTC) Skills: Kubernetes & containers (advanced) AWS / EKS (advanced) Linux (advanced) Terraform and IaC in general (proficient) Helm (proficient) Go and/or Python (familiar) MongoDB (or similar) Redis (or similar) Monitoring - prometheus, grafana, thanos (familiar) Grasp of networking concepts (subnets, routing, peering, load balancing, NAT, etc.) Common networking protocols (DNS, TCP/IP, HTTP, TLS, UDP) Proactive, energetic, innovative and change oriented Nice to have: GCP or Azure Bare metal infrastructure engineering API management experience Large scale distributed storage management Familiarity with Rancher CKA/CKAD/CKS Creating and delivering production software in Go language Here's why you should join us: Everyone has unlimited paid holiday. We have total flexibility in hours, as we believe creativity flows better when our people are given freedom to decide when they are most productive. Everyone is unique after all. Employee share scheme Generous maternity and paternity leave Company retreats Our values tell the story of Tyk - here's how: It's ok to screw up! We've found that it's often the 'stupid' or unexpected ideas that turn out to be the successful ones - so try it, at least we can say we have! The only stupid idea, is the untested one! It's in our DNA - starting a business with founders 12 hours apart, giving our gateway away for free - sure, we did that, and we'd do it again! Trust starts with you - make it count! Trust is a two-way street - instill it from day one! Assume best intent! We have each other's back - we're all on the same team. Think before you speak or act. Make things, better! Always try to leave things better than when you found them - change is constant, inevitable and embraced! Be that change we want to see.Tyk is an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.We offer

Associate Machine Learning Scientist page is loaded Associate Machine Learning Scientist Apply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. The Role: Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts and other Machine Learning Scientist, playing a key role in building machine learning models. Responsibilities: Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems Design and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with applied research, contribute to knowledge sharing and apply new techniques for prediction, information retrieval, text and image processing, causal inference, and optimisation Participate in team ceremonies (e.g. following the agile cadence, technical whiteboarding sessions, planning and product roadmapping) Report and present technical findings to technical and non-technical audiences Skills and Experience: Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist Proficiency in Python Solid understanding of machine learning concepts, familiarity working with frameworks such as TensorFlow or PyTorch Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up to date with applied ML developments Bonus Points: Experience with pricing models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting A/B tests Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards! About Us Depop is the community-powered fashion marketplace to buy and sell circular fashion, with over 30 million registered users in more than 150 countries. Depop is a place for anyone to discover and celebrate their style on their own terms, and to feel good about their fashion choices by extending the lives of millions of garments. The company was founded in 2011 and is headquartered in London with offices in Manchester and New York. Depop has approximately 400 employees dedicated to its mission of building the world's most diverse progressive home of fashion, that's kinder on the planet and kinder to people. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. Keep up to date Want to learn more about life at Depop? We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page.

Job Profile We are seeking a highly experienced and strategic Principal Product Manager - Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact. Vista Tech plays a vital role in the Vista group operations by delivering and accelerating comprehensive technology solutions across all brands. Vista's end-to-end and click-to-flight solutions offer the industry's only comprehensive flight booking platform, seamlessly integrating global operations, and leveraging AI and machine learning to optimize pricing and fleet movement. Comprised of the Product Management, Engineering, and IT teams, Vista Tech's mission is to enhance transparency and accessibility in private aviation through the development of the world's largest digital private aviation marketplace. In achieving this, Vista Tech always ensures the utmost safety and efficiency for FLIGHT CREW, EMPLOYEES and Members, while fostering a culture of innovation and excellence. Your Responsibilities Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives. Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models. Identify customer and business problems that can be addressed through AI/ML solutions. Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities. Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes. Partner with engineering teams to ensure seamless integration of machine learning models into production environments. Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs. Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products. Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities. Required Skills, Qualifications, and Experience Bachelor's degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus. 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products. Strong understanding of machine learning concepts, data pipelines, and AI-driven applications. Experience working closely with data science and engineering teams to bring ML models to production. Proven ability to manage complex, technical projects with multiple stakeholders. Strong analytical and problem-solving skills, with a data-driven approach to decision-making. Excellent communication and stakeholder management skills. Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As an SRE contributor in Axon's Real Time Operations organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter. You are also obsessed about achieving the high quality and reliability our customers demand. You will work closely not only with your peers, but also the RTO engineering teams, allowing your technical deliverables to reach the entire engineering organization, enabling product teams to continuously deliver features on the vanguard of innovation and helping scale our products to thousands of agencies around the world. What You'll Do Location: London UK Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, and securely. Exemplify cloud-native site reliability best practices. Write code that is performant, maintainable, clear, and concise. Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems. Influence and educate the engineering organization to adopt new and improved architectural patterns. Provide robust documentation for use by engineers to promote self-service. Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or similar. Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases. Experience using observability tools such as APM, logging, and metrics to assist with debugging issues. Experience designing tooling to simplify the operational management of SaaS/PaaS systems. Familiarity with building flexible and testable Infrastructure as Code modules. Empathy to support the needs of software engineers. Benefits That Benefit You Competitive base salary and equity Comprehensive pension plan with matching contribution Private health insurance & cash plans 30 days paid holiday + UK public holidays Enhanced maternity/paternity leave GymPass subscription Life assurance & income protection Career growth support and wellness resources Axon's mission is to protect life. We build technology for public safety and justice, including body cameras, sensors, and evidence platforms that power the future of real-time response. Join us and help shape the future of safety. Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

6-Month Contract Hybrid Working leading London Based Investment Bank You will: Design and build foundation components that will underpin our data mesh ecosystem. Build enterprise class real-time and batch solutions that support mission critical processes. Building solutions in line with our Digital Principles. Partner with our Product team(s) to create sustainable and resilient solutions. Your experience: Bachelor' s degree in Computer Science or relevant certification. Expert level experience in Java and preferably in Spark and Python. Well versed in Cloud architecture and have delivered to one or more; Azure (preferred). Demonstrate hands-on engineering in large scale complex Enterprise(s), ideally in the banking / financial industry. Worked with modern tech ' data streaming, real-time & batch processing and compute clusters. Working knowledge of relational and NoSQL databases, designing and implementing scalable solutions. Experience of working in continuous architecture environment, iterating and improving solutions including test driven development. Experience of CI/CD pipelines ' ADO, GitHub or Gitlab. If you meet the above criteria, please apply! This role is advertised via Hays Talent Solutions.

Change your job, change your workplace, change your future Ricoh are currently recruiting for a Head of IT Enterprise Service Engineering based in London who will be accountable for establishing and leading core service engineering functions-including release and deployment management, testing and data migration, service transition and enablement, environment management and quality assurance-across the enterprise IT landscape. This is a new role which will ensure that IT services are delivered reliably, efficiently, and in alignment with business growth objectives, while mitigating operational risks and safeguarding business continuity. The successful candidate will define and implement the strategy, frameworks, teams, and tools and will lay the foundation for how services are engineered, transitioned, and run in production. Ricoh transforms organisations, using innovative technologies and services enabling you as an individual to work smarter. This is what we call "empowering digital workplaces". In fact the entire Ricoh workforce enjoys our pioneering and innovative ways of working. We like to call it: imagine. change., it's the ethos of our brand and how we drive positive change for ourselves and others. Our teams are embracing change, fostering new ways of working and we have never been more resolute in our mission - "you work for us, and we ll work for you". What you will be doing Define the vision, operating model, and roadmap for the IT Service Engineering function aligned with the company's transformation goals. Build and lead cross-functional teams responsible for each core capability area. Establish best-in-class, standardised, automated, and auditable release management strategy and practices across applications and platforms. Partner with Engineering teams, PM/PMO, Cybersecurity, I&O, System Integrators and Business stakeholders to enable fast and safe IT delivery at scale. Build centralized capabilities for test coordination, test data management and complex data migrations to support modern digital-native and legacy platforms. Ensure testing and data migration strategies are aligned to Agile and CI/CD delivery pipelines and promote automation Design and operationalize service transition frameworks that ensure services are production-ready and supportable from day one. Lead service onboarding, support model definition, and operational readiness assessments Own the design, governance, and rollout of a comprehensive service catalogue that supports self-service, clarity, and accountability. Develop a centralised approach to managing pre-production and production environments across cloud and on-prem. Ensure availability, stability, and cost-effective provisioning of environments needed for continuous delivery. Establish service-level monitoring, alerting, and performance benchmarking for all IT solutions. Drive end-to-end quality engineering practices that support resilient and auditable systems. Develop and deploy dashboards and reporting mechanisms to provide visibility into service performance, quality metrics, and operational KPIs Implement controls and assurance mechanisms to reduce the risk of service failure in production environments and ensure continuity of critical business operations Define service standards, taxonomies, and ownership models Implement modern IAM practices that support secure, seamless access control aligned to Zero Trust principles and digital workforce needs. Partner with Cybersecurity to integrate identity into DevSecOps and product lifecycle. You will ideally have Ideal candidate will be educated to at least bachelor's or master's degree level, or equivalent professional qualification, with preference to studies in Computer Science, Software Engineering, or a related field. Certifications in ITIL v4, PMP, SAFe or cloud certifications (AWS, Azure, GCP) plus experience with tools like ServiceNow, Azure DevOps, JIRA or equivalent would be a distinct advantage. Familiarity with IT Service Management (ITSM) frameworks and process automation within shared service environments and knowledge of digital security best practices and compliance requirements for customer-facing and enterprise applications are highly desired for this role. Successful candidates will have proven experience in standing up new operational or engineering capabilities in a fast-moving digital or technology-driven environment. Preferably you will have substantial experience in IT service management, engineering, operations, or DevOps leadership roles, across complex hybrid environments (Cloud, on-prem, SaaS) Ideally you will have a deep understanding of ITIL, DevOps and Enterprise service management principles. Successful candidate will be a strong leader, with experience in building and managing cross functional teams in ambiguous, high-growth environments. Ideally you will have extensive experience working with business sponsors and stakeholders to translate requirements into IT services that drive both customer and operational improvements. Preferably you will have excellent problem-solving skills, with a track record of delivering secure, scalable, and high-performing IT services. To be successful in this role candidate will have excellent strong communication skills with the ability to work cross-functionally and present complex ideas to technical and non-technical stakeholders. In return for your commitment, you can expect A competitive salary package Industry leading benefits Ricoh is an exceptional place to work. A place where there is strong emphasis on career development for the right individuals. This is a role where you can excel within a fast-paced environment and succeed within a thriving organisation. This is an excellent opportunity to join a global company where you can truly capitalise and build on your own experience. Ready to make that change? Apply now for a confidential conversation with our Recruitment Team. We are an equal opportunities employer At Ricoh, we embrace and respect the collective and unique talents, experience, and perspectives of all people. Together we inspire remarkable innovation. That's how we live the Ricoh Way. Ricoh have removed the disclosure of convictions box from their application process (ban the box - ) offering equal opportunities to all. For all roles, we will judge each individual on their skills and ability before taking into account their history. However some roles are subject to sensitive and restrictive information and, if successful, you may be required to undertake pre-employment vetting checks which include but are not limited to residency check, credit reference check, financial sanctions check and a DBS Check. Further information on Employment Vetting can be accessed by contacting the Ricoh Recruitment Team.

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for a Lead AI (Artificial Intelligence) Consultant to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution. Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Register Your Interest - Technical Graduate Programme - Space, Defence & Intelligence Your future duties and responsibilities What You'll Be Doing: Empowerment through Innovation: From the very start you will play a key role in the development, testing, and delivery of technical solutions on our exciting SDI Projects. Collaborate and Create: Work with a team of tech experts to solve real-world problems, using your STEM background to drive innovation. Hands-On Impact: You'll be working on cutting-edge technologies such as satellite navigation systems, cybersecurity solutions, and space exploration projects, contributing directly to mission-critical outcomes for government and global organisations. Why Choose CGI's SDI Sector? You'll be working on some of the most exciting projects in the world, including: Satellite Navigation Systems: Helping develop the European Space Agency's Galileo system, providing critical positioning services to millions worldwide. Military Communications & Cybersecurity: Working with the UK Ministry of Defence for over 40 years. Developing secure networks to safeguard national security. Space Exploration & Environmental Monitoring: Partnering with NASA and other agencies to contribute to earth observation satellites that monitor climate change. Locations We recruit Technical Graduates for our Space, Defence and Intelligence roles across the UK, including Bristol, Chippenham, Gloucester, Leatherhead, Leicester, Manchester, London, Surrey, Reading, and Solihull. As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? Be Valued: You'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your unique perspective and ideas are recognised and contribute to the success of the team and the organisation. Be Empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. Be Collaborative: Our Student Kick-start Initiative will give you the chance to work with fellow graduates on creative and impactful projects beyond your day-to-day role. Benefits Be an Owner: All CGI Partners are offered a stake and say in the business with a 3.5% matched share scheme, making you an owner from day one. Be Supported: Benefit from private medical insurance, well-being programs, and access to world-class training to ensure you succeed. Be Secure: A competitive pension plan to help secure your future. Be Connected: Take advantage of our free sports and social clubs, diversity networks, and local office events, helping you build connections and enjoy your time at CGI. Required qualifications to be successful in this role Minimum 2:2 degree (some roles may require a 2:1 depending on the business unit) in computer science, engineering, physics, maths, or a related STEM field. Passion for technology and innovation. Flexibility to travel and work on projects across the UK. Due to the sensitive nature of projects within the SDI sector, candidates must meet security clearance requirements. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK. Technical Skills A strong technical foundation with experience and/or knowledge of programming, problem-solving, data analysis, or systems development would be beneficial for this role. Including any of the following: Programming Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. Database Knowledge Skills in databases like SQL, NoSQL, or data analytics tools. Skills Communication (Oral/Written) About CGI Group CGI is one of the largest IT and business process services providers in the world, delivering high-quality business consulting, systems integration and managed services. With 40 years of experience and continued business growth we offer financial strength and business rigour to support some of the UK's biggest and best brands across the commercial and public sectors. Our teams have experience in delivering award winning programmes in space, defence and national security, central government and the public sector, as well as the commercial sector including financial services, oil and gas, energy and utilities and communications.