1276 jobs found

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer

Agentic Software Engineer Our client is a UK-based organisation operating in the medtech industry, with a team of around 200 people. They design and manufacture bespoke solutions that improve patients quality of life. They are investing significantly in technology and automation to support their next phase of growth. A key initiative is the development of a new digital platform that connects prescription workflows, manufacturing processes, and patient outcomes into a single integrated system. The role This is a hands-on lead role suited to someone who works agentically- using AI systems to plan, scaffold, and deliver complex development tasks, while applying strong engineering judgement to review and refine outputs. As the first dedicated developer on this platform, you will work closely with senior leadership from initial concept through to production delivery, playing a central role in shaping both the system and the future team. Our client is looking for someone entrepreneurial and highly proactive, who is comfortable engaging directly with clinicians and operational teams to understand real-world problems before building solutions. Key responsibilities: Direct AI coding agents across complex, multi-step development tasks, structuring context and taking full ownership of outputs Translate requirements, user journeys, and wireframes into working software Develop across the full stack: front-end interfaces, APIs, data models, and integrations Contribute to architectural decisions (data models, authentication, hosting, security) using senior-level judgement Maintain strong version control and deployment practices (Git, branching, code review, CI/CD) Work closely with clinical, operational, and manufacturing teams to inform product development Support the growth and shaping of the technical team over time Planned technology stack: Front-end: React + TypeScript, Tailwind CSS, shadcn/ui Mobile: Capacitor (shared codebase across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front-end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure-as-code CI/CD: GitHub Actions with per-PR environments Deployment: Docker-based containerisation Authentication: Auth0 or Clerk (TBC) What our client is looking for: Strong full-stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools structuring problems and critically evaluating outputs Strong understanding of authentication, authorisation, data modelling, security, and edge cases Excellent communication skills, with the ability to engage both technical and non-technical stakeholders A self-driven, entrepreneurial mindset, comfortable working autonomously within a small, high-impact team What s on offer: Scope to shape a growing platform and team 25 days annual leave plus bank holidays Company pension scheme Flexible hybrid working Budget for AI tooling and productivity tools Interested? Please Click Apply Now We are particularly interested in hearing about: Projects delivered using AI-assisted development workflows Tools you use regularly How your development approach has evolved alongside AI advancements Agentic Software Engineer

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Network Engineer (Contract) Duration: 12 Months (Possibility for extension) Location: Chester/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Working as a Network Implementation engineer is to provide technical implementation services to support the evolution and ongoing support of the Bank EMEA IP Network in response to projects, upgrades, and feature enhancements. The work is always aligned to the current and approved architectural, roadmaps, technology standards, templates, governance, and change management policies. The main technology area of focus for the role is Business to Business connectivity via various DMZ's throughout EMEA via both public and private connections. The role is primarily focused on refreshing network devices that are approaching end of support dates. Key Responsibilities: Ability to analyses in detail current in production designs and network environments and report on these in detail via direct access, network tools and or automations scripts. Build Cisco network solutions based upon standards and predefined strategies with a strong focus on business-to-business solutions via DMZ's. Works with Design, Operations and Architecture Engineering in a "knowledge sharing" capacity in support of the team's adoption and successful delivery of network solutions. Plays a strong role in project delivery lifecycle management. Create detailed implementation plans for all designs, including test, accept criteria, back-out, validation plans and procedures. Adheres to project close-out practices such as asset tracking, inventories, documentation and the related systems, tools, and process updates. Perform design reviews so that other team members understand how a design is set up and answer any questions and address any issues highlighted. Very Strong technical knowledge: - Cisco IOS XE, Routing, Switching, DMZ designs, Multicast, BGP, Firewalls, VPN, ACL, Network Security, Latency, Leased Line, Colo Cross Connects, Internet Access, Tunnelling protocols, SSL/TLS, GRE & IPSEC. Technical knowledge of Load Balancers, Fortinet Firewall, McAfee/Skyhigh Proxy, Arista, DNS, NAC (802.1x), QoS, ISIS, OSPF, NHRP, MPLS, L2TP, Wireless/Wi-Fi solutions, AAA, Cable, Core WAN/MAN Technologies, Dark Fiber, DWDM, Carrier Circuits SD-ACCESS & MACSEC. Skills & Experience: Extensive experience required in Data Networking-related disciplines; design, build, and implementation of network solutions especially within the Business-to-business/DMZ environments utilising primarily Cisco equipment. Strong knowledge of Network Security Good computer skills and the use of various applications such as MS Office, MS Visio to support documentation required to deliver projects. Ability to assemble professional documents and artifacts. knowledge and experience using tooling, includes but is not limited to Splunk, network captures, debugging, Sniffer/wire Shark, etc. Leadership: Self-starter, self-directed, shows initiative and ownership Focused on execution, delivery, and commitment to dates. Industry Certifications such as CCNP and CCIE are desirable but not essential as experience is more important. Experience with Network Automation tools and processes, with a knowledge of Python, Ansible, Perl, PowerShell, etc. would be very desirable. Ability to recognize opportunities for automation and process improvements. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

We are looking for a Hardware Engineer to join our UK Team! Our Curtiss Wright Avionics, Video and Systems unit based in our state-of-the-art facility at Bournemouth Airport is looking for a Hardware Engineer to join the design team in our Letchworth office. You will be responsible for implementing all aspects of the electronic design and development process, from initial concept through to the completion of sealed data packs. You will also liaise with software engineers, mechanical engineers, manufacturing and sales to ensure product is fit for purpose, cost effective and reliable. Location: Letchworth office, UK. We Take Care of Our People Work-life balance through our Hybrid working, flexitime program and condensed work week (role dependent) I Paid Time Off I Retirement with Employer Match I Health and Wellness Benefits I Learning and Development Opportunities I Competitive Pay I Bonus Scheme I Recognition I Employee Stock Purchase Plan I Inclusive & Supportive Culture Your Challenge: Participate individually and as part of an integrated project team in the design of the Company s products. Design and develop new flight recorder, air data computer, ruggedised computer system or video products. Maintain the existing product line including obsolescence management, periodic circuit uplift and production support. Witnessing and ensuring allocated qualification tests are completed successfully, both in-house and at external test houses. To write formal design documentation To attend and actively contribute to the effective operation of applicable design reviews. To accept technical responsibility for allocated design tasks, with the help of senior engineers. To assist Production Engineering in the introduction of equipment into manufacture in a cost effective and timely manner Occasionally representing the Hardware function internally, and externally with the help of senior engineers. Infrequent UK and international travel may be required. What You Bring: Educated to Degree/HND level in an appropriate technical subject, with several years in industry. Some experience in embedded systems, digital and analogue design. Familiar with small Microprocessor and microcontroller systems Familiar with Schematic and some knowledge of layout design using ORCAD, MENTOR or similar packages. Familiar, or willing to learn, Op Amp level analogue & DC-DC PSU design. Familiar, or willing to learn, Design for EMC. Flexible and able to contribute towards Environmental Testing to standards such as RTCA/DO-160, including detailed test specification and report writing. Ability to fault find down to a board level. Experience working closely with or in production is advantageous. Experience within an aerospace/automotive/medical/safety-critical environment is advantageous. At or working towards MIET and IEng. About Us Our Values Environmental, Social and Governance Curtiss-Wright's Defense Solution division is a trusted, proven leader, delivering superior products and services that meet the defense and aerospace industries' toughest challenges with best-in-class value. In 2017, Curtiss-Wright relocated its Avionics, Sensors & Controls and Industrial Business Units into a brand new, purpose-built 160,000 ft2 facility at Bournemouth International Airport. The state-of-the-art facility has extensive design and manufacturing capabilities as well as in-house environmental stress screening. The facility is committed to quality and excellence in manufacturing for our flight recorder, air data computer, video management systems, computing systems, mission displays and video recorder products. As the design center of excellence for flight recorders and air data computers, the units had to be lightweight and small crash survivability requirements exceeding the existing standards for commercial aircraft. Please note, benefits are country specific and may vary from location to location No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Resumes submitted directly to any Curtiss-Wright employee or affiliate will not qualify for fee payment, and therefore become the property of Curtiss-Wright. Compliance Statement This position may require exposure to export-controlled information and subject to additional security screening. In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn. Curtiss-Wright is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status. If you require accommodation during the recruitment process, please contact Talent Acquisition. For US Applicants: EEO is The Law click here for more information. If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain. Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology. Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads. Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships. Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability. Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Python Software Engineer (FastAPI) - AI & Risk Technology We are partnering with a leading global investment bank to hire an exceptional Senior Python Software Engineer to join a newly formed AI engineering team focused on transforming risk functions through advanced AI and machine learning technologies. This is a hands-on individual contributor role for a highly capable engineer with deep expertise in Python Back End development, scalable system design, and modern software engineering practices. You will play a key role in architecting and delivering robust, production-grade platforms that support cutting-edge AI-driven solutions within a complex financial environment. This is an opportunity to join a strategically important AI initiative within a leading global financial institution, working on highly visible, business-critical AI products and large-scale risk technology platforms. You will gain exposure to cutting-edge AI technologies, complex engineering challenges, and significant career growth opportunities within a high-performing engineering environment. Key Responsibilities Architect and develop scalable Back End services using Python and FastAPI Build production-grade systems supporting AI/ML applications Design and implement solutions for analysing data, code, documentation, and workflow metadata Contribute to system architecture, scalability, reliability, and engineering best practices Work across containerised and cloud-native environments using Kubernetes/OpenShift Drive CI/CD, DevOps, and agile delivery practices Required Skills & Experience Expert-level Python development experience Strong commercial experience with FastAPI Deep understanding of software design principles and architectural patterns Experience delivering enterprise-grade software solutions Strong knowledge of scalable distributed systems and Back End architecture Experience with Kubernetes, OpenShift, or similar container platforms Strong DevOps and CI/CD expertise Desirable Experience with Generative AI and LLM-based applications Familiarity with LLM frameworks and prompt engineering Financial services or risk technology experience

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Agile Delivery Manager Location: London - Hybrid (2-3 days per week) Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not available Overview A leading international multi-asset exchange organisation operating across equities, fixed income, currencies, and commodities. The organisation is focused on strengthening its technology platforms, regulatory compliance, and delivery capability to support global market participants. Role Purpose The Senior Delivery Manager will lead the design, implementation, and adoption of delivery methodologies and governance frameworks across technology, product, and change functions. You will operate at the intersection of technology, product, business, and risk, ensuring delivery is predictable, transparent, and aligned to strategic objectives. Key Responsibilities Delivery Methodology & Framework Design Define and implement hybrid delivery frameworks (Agile) aligned to enterprise needs Establish a standardised Software Development Lifecycle (SDLC) across programmes Embed best practices across tooling such as Jira and Confluence Ensure alignment across engineering, architecture, and product Governance & Control Framework Design and implement a robust delivery governance model, including: Programme and portfolio governance forums Standardised reporting (RAID, status, financial tracking) Escalation and decision-making frameworks Ensure alignment with regulatory expectations from relevant financial authorities Build audit-ready processes and artefacts Adoption & Change Leadership Drive enterprise-wide adoption of delivery standards and governance frameworks Lead stakeholder engagement across Technology, Business, Risk, and Compliance Develop and execute change management strategies to embed new ways of working Address resistance and ensure sustained behavioural change Delivery Oversight & Performance Provide oversight and assurance across key programmes and initiatives Coach and support Delivery Managers, Programme Managers, and Scrum Masters Intervene in at-risk programmes and drive recovery plans Define and track delivery KPIs and success metrics (predictability, velocity, risk reduction) Stakeholder & Executive Engagement Engage senior stakeholders and executives to align delivery with strategic priorities Present at governance forums and steering committees Act as a trusted advisor on delivery strategy and execution Skills & Experience Essential Proven experience as a Senior Delivery Manager or Programme Lead within financial services or regulated environments Demonstrated success in: Designing and implementing delivery methodologies Building governance frameworks at scale Driving organisational adoption and change Strong understanding of Agile, Scrum, and hybrid delivery models Strong knowledge of SDLC and enterprise delivery tooling Experience operating in regulated environments with audit and compliance requirements Excellent stakeholder management, including executive-level engagement Desirable Experience within capital markets, trading platforms, or exchange environments Familiarity with regulatory frameworks in global financial markets

Job Description About the Role NOV Fiber Glass Systems UK Ltd is seeking a Graduate Engineer to join our Plymouth engineering team in a full-time position commencing in July 2026. This role is ideally suited to a graduate with an interest or background in structural or composite engineering who is eager to develop practical engineering design experience within a leading global organisation. Reporting to the Senior Engineering Manager, the successful candidate will support a variety of projects across the Civil, Construction, and Oil & Gas sectors. The role offers exposure to structural calculations, product design, finite element analysis, technical documentation, and innovative engineering solutions, alongside sponsored professional development through MSc to Chartered Engineer (CEng) progression. About the Company NOV Fiber Glass Systems UK Ltd designs, manufactures, and installs advanced composite and thermoplastic solutions for a broad range of industries, including Oil & Gas, Marine & Offshore, Waste Water, and Naval sectors. Bespoke systems are engineered to meet customer-specific requirements while maintaining high standards of safety, quality, and innovation. As part of NOV, a globally recognised leader in energy industry technology and services, we are committed to delivering engineering excellence and supporting the development of future talent. What We Offer Opportunity to join an industry-leading engineering business Exposure to diverse and technically challenging projects Structured development and mentoring from experienced engineering professionals Sponsored progression through MSc to Chartered Engineer (CEng) status Career development opportunities within a global organisation Collaborative and professional working environment Hands-on experience with advanced engineering technologies and methodologies Key Responsibilities Essential Responsibilities Provide engineering support across structural and civil engineering activities, including structural calculations, laminate and joint design, finite element analysis (FEA), structural system design, and product innovation. Produce draft engineering designs for review by the Senior Engineering Manager. Revise and correct engineering designs for client review under the direction of the Senior Engineering Manager. Prepare technical documentation for approval. Complete NOV software, technical, and general training requirements. Support additional engineering and operational activities as required by the business and line management. Qualifications & Skills Essential Qualifications Degree in Structural Engineering, Civil Engineering, Mechanical Engineering, Composite Engineering, or a related discipline, ensures strong foundational engineering knowledge. Engineering fundamentals: Strong understanding of mechanics, stress analysis principles, technical drawing (3D CAD proficiency), materials science with some knowledge of fibre reinforced composite materials and related manufacturing methods Ability to manage workload effectively and prioritise tasks to meet deadlines. Good written and verbal communication skills for technical reporting and collaboration. Proficiency in Microsoft Office and willingness to learn specialist engineering software and tools. Desired Qualifications Exposure to Finite Element Analysis (FEA) software or structural design tools. Knowledge of composite materials and structural systems. Previous internship, placement, or project experience within engineering or manufacturing environments. Understanding of engineering standards, regulations, and best practices relevant to Civil, Construction, or Oil & Gas sectors. Soft Skills Strategic thinker with the ability to quickly learn and adapt to new challenges. Strong customer focus with commitment to internal and external stakeholder support. Collaborative team player who works effectively with peers to solve problems. Professional and confident communicator in both written and verbal interactions. Self-motivated with a commitment to continuous learning and career development. Able to exercise sound judgement while working under pressure and within deadlines. Positive attitude toward challenges and continuous improvement opportunities. Why Join Us? Join our Global Family: We offer an inspiring place to work with great opportunities to develop your skills and the opportunity to work with the brightest minds in the oil and gas industry. You will become part of a professional culture where we work together in teams with other dedicated professionals to achieve common goals. At NOV, we are committed to supporting your personal, financial, and professional wellbeing. Our comprehensive benefits package includes: Health & Wellbeing Private Medical Insurance Employee Assistance Programme (EAP) Finance & Protection Pension Plan Income Protection Life Assurance Personal Accident Coverage Flexible Benefits (via salary sacrifice options for you and your family) Dental Insurance Healthcare Cash Plan Partner Life Assurance Critical Illness Cover Retail Vouchers Gym Membership Cycle to Work Scheme Travel Insurance About Us Every day, the oil and gas industry's best minds put more than 150 years of experience to work to help our customers achieve lasting success. We Power the Industry that Powers the World Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success-now and in the future. Global Family We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful Innovation Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better. Service Above All This drives us to anticipate our customers' needs and work with them to deliver the finest products and services on time and on budget. About the Team

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Marketing Data Scientist London £45,000 to £55,000 + bonus and benefitsNo sponsorship offered - must have full right to work in the UK This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale. The Company They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities. The Role You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact. Key responsibilities include: Developing and enhancing media mix models to measure and optimise marketing investment. Scaling an established UK modelling framework and applying it to international markets. Leading the evolution of marketing effectiveness modelling, with support and one direct report. Working closely with marketing, CRM, and analytics stakeholders to turn insights into action. Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems. Owning projects end to end, from problem definition through to measurable business impact. Your Skills and Experience Strong hands on experience with Python and applied machine learning. Solid grounding in statistical and predictive modelling techniques. Experience designing experiments and evaluating performance using A B testing or similar approaches. Confidence working with real world, messy data and delivering production ready solutions. Familiarity with cloud environments such as AWS is beneficial. Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential. Ability to demonstrate how your work has delivered tangible value or influenced decision making. What They Offer Salary between £45,000 and £55,000 depending on experience. 10 percent annual bonus. Pension with 3 percent employer and 5 percent employee contribution. Hybrid working with 2 to 3 days per week in the London office. Clear progression as the data science team continues to grow and invest. How to Apply If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with BCG 's Responsible AI team, where you will develop and apply innovative tools for testing and evaluating new GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable . Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications. The Responsible AI Applied Scientist plays a critical role supporting BCG 's testing and evaluation efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG. The Responsible AI Applied Sci entist will work with a diverse set of stakeholders to: Ensure responsible development of GenAI and AI products by providing Responsible AI expert support to GenAI and AI product teams, including conducting independent assessment of product -level risks and owning product evaluations Engage indep endently and directly with BCG product teams to sup port Responsible AI-related nee ds across the entire software development lifecycle of GenAI or AI product s Work with and support technical teams executing risk assessment and testing and evaluation o f GenAI and AI products Train and mentor technical teams on testing and evaluation approaches for GenAI products Remain up - to - date on emerging frameworks, standards, and technical approaches, and related issues , by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations What You'll Bring 3-5+ years of experience in Responsible AI, including directly engaging with AI product teams 3+ years of industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent written and verbal communication skills across technical and non-technical audiences Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications Ability to think critically about ethical, social, and business risks posed by GenAI and AI systems Passion for building things and comfort working with modern data science development tools Experience designing and analyzing experiments using advanced statistical methods Experience and enthusiasm for working with Ge n AI technologies Technical Skills Must - have experience: Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience Strong research background in empirical evaluation, experimental design, or benchmarking Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs Strong analytical and communication skills, including the ability to write clear testing result reports Nice - to - have experience: Experience with quantitative social science research Familiarity with software engineering practices (e.g., unit testing, CI/CD ) Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases Knowledge of AI risk management frameworks (e.g., NIST AI RMF) Experience with d eveloper tools , including IDEs (e.g., VSCode , Pycharm ) and environment management (e.g., P yenv , C onda , P oetry , D ocker) Demonstrable contribution to open-source evaluations of GenAI Who You'll Work With You'll work in a fast-paced, intellectually challenging, product-oriented environment where we advance our thinking about and operationalization of Responsible AI. You'll engage with a diverse set of stakeholders, including senior executives, A I and G enAI product teams , legal, compliance, and security teams, BCG's Chief AI Ethics Officer, the Director of the Responsible AI team, and other members of the Responsible AI team. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Management Accountant - Belfast - £55000 - £65000 per annum. This role is for an ambitious accountant. Your new companyYou'll be joining a large, well-established, privately owned organisation with a strong track record of growth and stability. The business has reached a size and complexity where finance plays a critical role in shaping decision-making, not just reporting the numbers.The leadership team is engaged, commercially focused, and invested in developing its finance function to a higher standard - with better insight, faster reporting, and smarter use of technology. Your new roleThis is a Senior Management Accountant / Financial Controller Designate opportunity, reporting directly to the Finance Director and working closely with senior leadership.You won't be stepping into a perfectly polished finance function - and that's exactly the point. The team is capable and committed, but there is clear scope to tighten controls, accelerate month-end, and materially improve the quality of management information used across the business.From day one, you'll take ownership of the monthly management accounts, balance sheet integrity, and the narrative behind the numbers. You'll partner with senior stakeholders, challenge assumptions, and ensure finance plays a visible role in commercial and strategic decisions.A key part of the role is progression. Within 12-18 months, the clear and genuine expectation is that you'll step into the Financial Controller role, with full ownership of the finance function and leadership responsibility for the team.You'll also have real licence to modernise how finance operates - reducing manual effort, improving reporting processes, and introducing practical automation and AI-enabled tools where they add genuine value. What you'll need to succeedYou'll be a qualified accountant (ACA / ACCA / CIMA) currently operating in a senior management accounting, finance manager, or similar role, and ready to step up. You'll bring: Strong experience producing monthly management accounts A solid grounding in financial control, balance sheet management, and month-end close Experience within a product-based or operationally complex environment Commercial confidence - comfortable challenging stakeholders and explaining what the numbers really mean A hands-on mindset, willing to get into the detail when needed Genuine interest in finance automation, reporting improvement, and practical use of AI Ambition to progress into a Financial Controller role and take full ownership of a finance function You'll enjoy working in an environment where not everything is perfectly set up yet - and where improving it is part of your job. What you'll get in return Salary of £55,000 - £65,000, with flexibility for the right candidate Performance-related bonus A clearly defined pathway to Financial Controller within 12-18 months Direct exposure to senior leadership and board-level reporting Real autonomy to improve processes, controls, and reporting The opportunity to modernise a finance function using automation and AI A stable, profitable, and growing organisation with long-term opportunities This is a role for someone who wants responsibility, visibility, and progression - not just another title. You will be working with a dynamic FD who is genuinely looking to progress this person through the business. What you need to do nowIf this sounds like the step you've been working towards, this role offers the scope, support, and progression to match your ambition.If you're interested in this role, click "apply now" to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Salesforce Revenue Cloud Architect - 12-Month Contract - Hybrid (London, 3 Days Onsite) We are looking for an experienced Salesforce Revenue Cloud Architect to lead the design and delivery of scalable Salesforce solutions across complex enterprise environments. In this role, you will own end-to-end solution architecture across Salesforce Revenue Cloud and wider Salesforce platforms, working closely with Product, Engineering, UX, Data, and Business teams to deliver secure, scalable, and customer-centric solutions. Key Responsibilities Lead Salesforce solution architecture across Revenue Cloud and multi-cloud environments Define scalable architectures covering integrations, data models, customer journeys, and process automation Translate complex business requirements into clear Salesforce solution designs Design integration patterns and platform strategies across enterprise systems Drive platform scalability, governance, and best practice architecture standards Collaborate with senior stakeholders across Product, Engineering, Architecture, and Operations Support enterprise transformation initiatives across Salesforce ecosystems Key Skills Required Strong experience as a Salesforce Solution Architect within complex enterprise environments Proven Salesforce Revenue Cloud experience is essential Strong knowledge of Salesforce multi-cloud architecture and integration patterns Experience designing scalable end-to-end Salesforce solutions across customer and operational processes Strong understanding of enterprise integrations, data models, and platform governance Ability to structure complex business and technical requirements into scalable solutions Excellent stakeholder management, communication, and documentation skills Contract Details Duration: 12 months Day Rate: Negotiable Determination: Inside IR35 Location: Hybrid - London, Westminster (3 days onsite per week) Start Date: ASAP