About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process Deploy and maintain services with Kubernetes and Docker Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong communication skills Desirable Experience using Kubernetes (k8s) or OpenStack Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with Grafana Familiarity with cloud services (e.g. AWS) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Nov 15, 2025
Full time
About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process Deploy and maintain services with Kubernetes and Docker Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong communication skills Desirable Experience using Kubernetes (k8s) or OpenStack Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with Grafana Familiarity with cloud services (e.g. AWS) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field
Nov 09, 2025
Full time
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you'll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We're looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. Who We're Looking For Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired. Proactivity & high ownership: You'll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly. Solution-focused: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work alongside our customers to understand their problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs. E2E application design: Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback. Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer's day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure. PhysicsX development: Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customer. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field
Overview The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in Denmark, UK, Canada, Israel, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. As a Software Engineer within the Investigations group, you'll join a remote team of other engineers and share the responsibility of providing the right tools for the right data in order to build best in class customer experiences for our customers. Thus, you'll find the opportunity to lead, build and maintain customer facing web frontend features as well as the services and data pipelines backing them. Part of this responsibility is also to learn and understand the domain as well as the underlying data platform in order to successfully partner with product managers and designers to deliver impactful solutions to our customers. Responsibilities Become part of an established team adept at collaboration and task allocation. A team which can focus on generating direct impact. Make key contributions to high availability solutions in close collaboration with your team through your ability and willingness to take ownership and assist where needed. Your contributions will be thorough and result in sustaining a low maintenance overhead. Gain customer understanding as well as valuable insights into our data platform through your curiosity around cryptocurrencies/decentralized-finance Demonstrate your passion for learning by seeking out knowledge and collaborating with people close to our products and solutions. Display your bias to ship and iterate alongside product management and design partners. Qualifications Expertise in writing and maintaining Java/Spring-based backend services. Experience in the full lifecycle of service management, from initial development to continuous operation. A deep understanding of the critical aspects of service scalability and high availability as well as monitoring and maintaining deployed features and services ensuring optimal performance and reliability. Database management systems experience including replication, high availability, performance tuning, and complex query optimization. A background in frontend development. Strong knowledge of container orchestration using Kubernetes. You might also have An understanding of event streaming platforms. Hands on with infrastructure as code. A track record in mentoring other engineers, leading cross-team projects without authority, and driving design and technology decisions. Technologies we use (nice to have experience) Monitoring and alerting: Datadog, Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you.
Nov 09, 2025
Full time
Overview The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in Denmark, UK, Canada, Israel, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. As a Software Engineer within the Investigations group, you'll join a remote team of other engineers and share the responsibility of providing the right tools for the right data in order to build best in class customer experiences for our customers. Thus, you'll find the opportunity to lead, build and maintain customer facing web frontend features as well as the services and data pipelines backing them. Part of this responsibility is also to learn and understand the domain as well as the underlying data platform in order to successfully partner with product managers and designers to deliver impactful solutions to our customers. Responsibilities Become part of an established team adept at collaboration and task allocation. A team which can focus on generating direct impact. Make key contributions to high availability solutions in close collaboration with your team through your ability and willingness to take ownership and assist where needed. Your contributions will be thorough and result in sustaining a low maintenance overhead. Gain customer understanding as well as valuable insights into our data platform through your curiosity around cryptocurrencies/decentralized-finance Demonstrate your passion for learning by seeking out knowledge and collaborating with people close to our products and solutions. Display your bias to ship and iterate alongside product management and design partners. Qualifications Expertise in writing and maintaining Java/Spring-based backend services. Experience in the full lifecycle of service management, from initial development to continuous operation. A deep understanding of the critical aspects of service scalability and high availability as well as monitoring and maintaining deployed features and services ensuring optimal performance and reliability. Database management systems experience including replication, high availability, performance tuning, and complex query optimization. A background in frontend development. Strong knowledge of container orchestration using Kubernetes. You might also have An understanding of event streaming platforms. Hands on with infrastructure as code. A track record in mentoring other engineers, leading cross-team projects without authority, and driving design and technology decisions. Technologies we use (nice to have experience) Monitoring and alerting: Datadog, Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you.
Project Description We are looking for an experienced Senior Solution Designer to lead the design and architecture of enterprise-grade applications built on Java microservices. You need to have a minimum of 10 years of experience in software architecture, with deep technical expertise in Java, Spring Boot, cloud-native design, and microservices patterns. In this role, you'll collaborate with business stakeholders, architects, and development teams to craft scalable, secure, and high-performing solutions that align with business and technical objectives. You will be a key decision-maker in driving architectural standards, integration strategies, and implementation guidance across the software development lifecycle. Responsibilities Collaborate with business analysts, product owners, and enterprise architects to understand functional and non-functional requirements. Design end-to-end technical solutions using Java, Spring Boot, and microservices patterns. Define system integration patterns, data flows, APIs, and microservice interactions. Prepare technical architecture documents, sequence diagrams, and high/low-level designs (HLD/LLD). Evaluate and recommend appropriate frameworks, technologies, and tools. Review code and designs to ensure alignment with best practices, performance, and security standards. Provide guidance to development teams during implementation and support in resolving technical roadblocks. Ensure solutions are cloud-ready and scalable (AWS). Skills Must have Experience: Minimum 10+ years of experience in enterprise software development and architecture. Tech Stack: Deep expertise in Java (8/11/17+), Spring Boot, and REST APIs. Solid experience with microservices architecture, event-driven systems, and containerization (Docker/Kubernetes). Hands-on experience designing solutions for cloud environments (preferably AWS). Architecture Skills: Proficient in creating HLD/LLD, sequence diagrams, and architectural documentation. Experience with integration patterns (e.g., API Gateway, message brokers like Kafka or RabbitMQ). DevOps & Tools: Familiarity with CI/CD pipelines, infrastructure as code, observability tools, and service mesh concepts. Soft Skills: Strong communication and stakeholder management abilities. Proven track record of working with cross-functional teams in agile or hybrid environments. Excellent problem-solving, critical thinking, and decision-making skills. AWS Certification (e.g., AWS Certified Solutions Architect - Associate/Professional). Nice to have N/A
Nov 09, 2025
Full time
Project Description We are looking for an experienced Senior Solution Designer to lead the design and architecture of enterprise-grade applications built on Java microservices. You need to have a minimum of 10 years of experience in software architecture, with deep technical expertise in Java, Spring Boot, cloud-native design, and microservices patterns. In this role, you'll collaborate with business stakeholders, architects, and development teams to craft scalable, secure, and high-performing solutions that align with business and technical objectives. You will be a key decision-maker in driving architectural standards, integration strategies, and implementation guidance across the software development lifecycle. Responsibilities Collaborate with business analysts, product owners, and enterprise architects to understand functional and non-functional requirements. Design end-to-end technical solutions using Java, Spring Boot, and microservices patterns. Define system integration patterns, data flows, APIs, and microservice interactions. Prepare technical architecture documents, sequence diagrams, and high/low-level designs (HLD/LLD). Evaluate and recommend appropriate frameworks, technologies, and tools. Review code and designs to ensure alignment with best practices, performance, and security standards. Provide guidance to development teams during implementation and support in resolving technical roadblocks. Ensure solutions are cloud-ready and scalable (AWS). Skills Must have Experience: Minimum 10+ years of experience in enterprise software development and architecture. Tech Stack: Deep expertise in Java (8/11/17+), Spring Boot, and REST APIs. Solid experience with microservices architecture, event-driven systems, and containerization (Docker/Kubernetes). Hands-on experience designing solutions for cloud environments (preferably AWS). Architecture Skills: Proficient in creating HLD/LLD, sequence diagrams, and architectural documentation. Experience with integration patterns (e.g., API Gateway, message brokers like Kafka or RabbitMQ). DevOps & Tools: Familiarity with CI/CD pipelines, infrastructure as code, observability tools, and service mesh concepts. Soft Skills: Strong communication and stakeholder management abilities. Proven track record of working with cross-functional teams in agile or hybrid environments. Excellent problem-solving, critical thinking, and decision-making skills. AWS Certification (e.g., AWS Certified Solutions Architect - Associate/Professional). Nice to have N/A
UnderwriteMe is a UK based Insurtech creating disruptive SaaS solutions for the insurance industry. We are on a mission to make life insurance more widely accessible, providing technology to ensure people and their loved ones are protected when the inevitable happens. We are wholly owned by Pacific Life, but operate as an autonomous business within the company. This gives us the best of both worlds - the freedom to act like a technology scale-up, with the stability of a large company meaning longer-term thinking and no last minute pivots to gain our next funding round. Pacific Life Re became 100% shareholder of UnderwriteMe in 2017 given the strategic synergy with its reinsurance business. UnderwriteMe has two main products we sell to customers: Decision Platform - a B2B enterprise platform that provides a best-in-market Underwriting Rules Engine used by over 30 insurers to power their underwriting decisions. The product is sold across UK & Ireland, Asia-Pacific and North America. The platform combines our engine with technology to source and process third-party information supporting underwriting decisions for insurers. We are already working on capabilities, powered by AI, to make these decisions even more efficient. Protection Platform - a B2B2C marketplace used by over 15,000 advisors to power quoting and purchase of protection products in the UK. We currently deliver 16% of the UK markets protection policies and we are already working to increase our reach. UnderwriteMe is part-way through a multi-year transformation to adopt a Product Operating Model, modernising our architecture and moving our products to a SaaS model. We still have much to do, and we're looking for people to join us on this challenging and exciting journey. Pacific Life and UnderwriteMe are both organisations focussed on creating a great environment in which to work. We recognise that attracting and retaining top talent is how we continue to improve the company. We pay well and as we are part of a mature organisation, we have a good benefits package. We value and celebrate diversity in our teams and continually work to celebrate the uniqueness of each person. We work in a hybrid model and we expect our leaders to flex where they work based on the needs of the company and their teams. The Role We are looking for a Senior Software Engineer to join us to help us build, enhance and scale our Protection Platform product. The Protection Platform lives within a modern tech ecosystem: Hosted entirely in the cloud (AWS) utilising products such as EKS, RDS, DynamoDB, EventBridge and S3. All our applications are JVM based with the majority running on Java 21. We're in the process of moving our backend services to Spring Boot. We've invested heavily in our DataDog integration to bring world class observability and monitoring to our systems. We've recently moved to Gitlab and are currently building out our next generation of automated deployment pipelines. We've incorporated some of the best open-source software into our systems and processes including Kubernetes, Terraform, Helm, Flux, Docker and Renovate. Integrated with some of the leading products in the industry including Auth0, Segment, Customer IO, Snowflake, Vercel and more. We strive for the best developer experience possible: High spec Macbook Pros standard issue. Most desks in office have 2 X Apple Studio displays! On demand provisioning of environments for you to test and validate your changes. These can be securely integrated with your local environment for rapid feedback. All infrastructure changes managed as Infrastructure-as-Code using a Git Ops based approach. A sandbox available for rapid prototyping with AWS technologies. You'll join a team actively practicing: Collaborative approaches to engineering including pair and ensemble programming. A shift left mindset on quality and security. Build/Run philosophy: we own our code in production-we write it, test it, deploy it, and monitor it. What you will be doing Contributing to the development and improvement of the Protection Platform with a focus on adaptability, scalability, and maintainability. Taking ownership of complex engineering problems, delivering high-quality solutions, and supporting the team in building robust, production-ready software. Actively participating in system design and architecture discussions to produce simple and useful solutions. Helping shape and improve the team's ways of working drawing on your knowledge and experience in areas like Test Driven Development, Domain Driven Design, Continuous Delivery and XP. Working closely with product managers to understand priorities, influence the roadmap, and ensure a healthy balance between delivering new features and improving technical foundations. Championing a DevOps mindset-owning all aspects of your code from development through to production including the AWS solution design, security, observability. Supporting the growth of others through code reviews, pairing, and knowledge sharing-helping to foster a culture of learning and ownership. What type of person fits the role You're a well-rounded software engineer who sees writing code as just one part of building great software. You care about solving real problems, not just shipping features, and you think critically about the trade-offs behind technical decisions. You're someone who questions unnecessary complexity and believes in simple, maintainable solutions. You understand that the best code is often the code you don't have to write. You enjoy working collaboratively across disciplines-engaging with product managers, designers, and other engineers to build systems that are technically sound and deliver real value. You prefer your day mostly being filled with collaboration with other engineers through pairing or ensemble programming. Working alone with your headphones is the exception not the norm. You're comfortable balancing long-term technical quality with short-term delivery needs, and you know when to push for robustness and when to favour speed. You take pride in your craft, but you're not precious about your code. You see feedback and iteration as essential to delivering high-quality software. You're curious, proactive, and constantly looking for ways to improve your own skills, your team's effectiveness, and the systems you work on. Technical Requirements Deep understanding of techniques like Trunk Based Development, Test Driven Development, Continuous Delivery, Domain Driven Design. You have worked in a team that has successfully applied these techniques to real world problems. Strong proficiency in modern Java (21) and Spring Boot. Previous experience building cloud native solutions (preferably AWS). Strong grounding in core computer science principles. Extra bonus if you've worked in and have experience of legacy migration techniques, event driven architectures, CQRS, event sourcing or modular monoliths. If you feel that you've met most of the requirements above, even if it isn't everything, please do reach out and apply. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: • a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America • the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities. Benefits (Only for Permanent and Fixed Term Employees) As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided. . click apply for full job details
Nov 07, 2025
Full time
UnderwriteMe is a UK based Insurtech creating disruptive SaaS solutions for the insurance industry. We are on a mission to make life insurance more widely accessible, providing technology to ensure people and their loved ones are protected when the inevitable happens. We are wholly owned by Pacific Life, but operate as an autonomous business within the company. This gives us the best of both worlds - the freedom to act like a technology scale-up, with the stability of a large company meaning longer-term thinking and no last minute pivots to gain our next funding round. Pacific Life Re became 100% shareholder of UnderwriteMe in 2017 given the strategic synergy with its reinsurance business. UnderwriteMe has two main products we sell to customers: Decision Platform - a B2B enterprise platform that provides a best-in-market Underwriting Rules Engine used by over 30 insurers to power their underwriting decisions. The product is sold across UK & Ireland, Asia-Pacific and North America. The platform combines our engine with technology to source and process third-party information supporting underwriting decisions for insurers. We are already working on capabilities, powered by AI, to make these decisions even more efficient. Protection Platform - a B2B2C marketplace used by over 15,000 advisors to power quoting and purchase of protection products in the UK. We currently deliver 16% of the UK markets protection policies and we are already working to increase our reach. UnderwriteMe is part-way through a multi-year transformation to adopt a Product Operating Model, modernising our architecture and moving our products to a SaaS model. We still have much to do, and we're looking for people to join us on this challenging and exciting journey. Pacific Life and UnderwriteMe are both organisations focussed on creating a great environment in which to work. We recognise that attracting and retaining top talent is how we continue to improve the company. We pay well and as we are part of a mature organisation, we have a good benefits package. We value and celebrate diversity in our teams and continually work to celebrate the uniqueness of each person. We work in a hybrid model and we expect our leaders to flex where they work based on the needs of the company and their teams. The Role We are looking for a Senior Software Engineer to join us to help us build, enhance and scale our Protection Platform product. The Protection Platform lives within a modern tech ecosystem: Hosted entirely in the cloud (AWS) utilising products such as EKS, RDS, DynamoDB, EventBridge and S3. All our applications are JVM based with the majority running on Java 21. We're in the process of moving our backend services to Spring Boot. We've invested heavily in our DataDog integration to bring world class observability and monitoring to our systems. We've recently moved to Gitlab and are currently building out our next generation of automated deployment pipelines. We've incorporated some of the best open-source software into our systems and processes including Kubernetes, Terraform, Helm, Flux, Docker and Renovate. Integrated with some of the leading products in the industry including Auth0, Segment, Customer IO, Snowflake, Vercel and more. We strive for the best developer experience possible: High spec Macbook Pros standard issue. Most desks in office have 2 X Apple Studio displays! On demand provisioning of environments for you to test and validate your changes. These can be securely integrated with your local environment for rapid feedback. All infrastructure changes managed as Infrastructure-as-Code using a Git Ops based approach. A sandbox available for rapid prototyping with AWS technologies. You'll join a team actively practicing: Collaborative approaches to engineering including pair and ensemble programming. A shift left mindset on quality and security. Build/Run philosophy: we own our code in production-we write it, test it, deploy it, and monitor it. What you will be doing Contributing to the development and improvement of the Protection Platform with a focus on adaptability, scalability, and maintainability. Taking ownership of complex engineering problems, delivering high-quality solutions, and supporting the team in building robust, production-ready software. Actively participating in system design and architecture discussions to produce simple and useful solutions. Helping shape and improve the team's ways of working drawing on your knowledge and experience in areas like Test Driven Development, Domain Driven Design, Continuous Delivery and XP. Working closely with product managers to understand priorities, influence the roadmap, and ensure a healthy balance between delivering new features and improving technical foundations. Championing a DevOps mindset-owning all aspects of your code from development through to production including the AWS solution design, security, observability. Supporting the growth of others through code reviews, pairing, and knowledge sharing-helping to foster a culture of learning and ownership. What type of person fits the role You're a well-rounded software engineer who sees writing code as just one part of building great software. You care about solving real problems, not just shipping features, and you think critically about the trade-offs behind technical decisions. You're someone who questions unnecessary complexity and believes in simple, maintainable solutions. You understand that the best code is often the code you don't have to write. You enjoy working collaboratively across disciplines-engaging with product managers, designers, and other engineers to build systems that are technically sound and deliver real value. You prefer your day mostly being filled with collaboration with other engineers through pairing or ensemble programming. Working alone with your headphones is the exception not the norm. You're comfortable balancing long-term technical quality with short-term delivery needs, and you know when to push for robustness and when to favour speed. You take pride in your craft, but you're not precious about your code. You see feedback and iteration as essential to delivering high-quality software. You're curious, proactive, and constantly looking for ways to improve your own skills, your team's effectiveness, and the systems you work on. Technical Requirements Deep understanding of techniques like Trunk Based Development, Test Driven Development, Continuous Delivery, Domain Driven Design. You have worked in a team that has successfully applied these techniques to real world problems. Strong proficiency in modern Java (21) and Spring Boot. Previous experience building cloud native solutions (preferably AWS). Strong grounding in core computer science principles. Extra bonus if you've worked in and have experience of legacy migration techniques, event driven architectures, CQRS, event sourcing or modular monoliths. If you feel that you've met most of the requirements above, even if it isn't everything, please do reach out and apply. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: • a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America • the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities. Benefits (Only for Permanent and Fixed Term Employees) As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs, and we will consult with you to ensure suitable accommodation is provided. . click apply for full job details
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be Doing Working in our Defence business unit you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here. You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Leading on the scope and design of projects Offering leadership and management to more junior engineers on the team Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Oct 31, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What You'll Be Doing Working in our Defence business unit you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the defence and national security space - examples of which can be found here. You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Leading on the scope and design of projects Offering leadership and management to more junior engineers on the team Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution What we can offer you The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Oct 31, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present. About the Role You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For You can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of, and experience with the full machine learning lifecycle Working with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Experience with software engineering best practices and developing applications in Python. Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure) Demonstrable experience with containers and specifically Docker and Kubernetes An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Demonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.