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Full Time Senior Senior Software Engineer in AI at Future PLC in United Kingdom - Remote. Apply directly through the link below. At a glance: Work mode: Remote Employment: Full Time Location: United Kingdom - Remote Experience: Senior Core stack: Infrastructure, Microservices, React Native, Architecture, Performance, Scalability, TypeScript, JavaScript, Serverless, Salesforce, Terraform, Debugging, Node.js, RESTful, Logging, Tracing, Design, Remote, Azure, CI/CD, OAuth, Spark, Jest, SQL, TDD, BDD, API Is this Senior Software Engineer job remote? Yes, this position is fully remote (United Kingdom - Remote). What skills are required? Infrastructure, Microservices, React Native, Architecture, Performance, Scalability, TypeScript, JavaScript, Serverless, Salesforce, and more. What you'll be doing As a Senior Software Developer, you will play a key role in developing and maintaining the backend infrastructure that powers Renewal, our React Native mobile application. Your focus will be hands on, delivering technical solutions using Azure Functions while ensuring reliability, scalability, and best practices across our cloud based platform. Reporting to the Senior Tech Lead, you will design and implement new features and services, as well as maintaining and improving our existing Azure based infrastructure. You will ensure all changes are well architected, thoroughly tested, and aligned with our technical standards. Your opinion matters within your role - your peers will look to you as a technical expert within the team. You will make important architectural decisions that align with our infrastructure, and be able to explain these decisions clearly to both technical and non technical team members. Experience that will put you ahead of the curve Core Requirements: C# and .NET (experience with Azure Functions specifically is highly desirable) Microsoft SQL Server / Azure SQL Database Azure Services (particularly Azure Functions, Azure Blob Storage, and Azure B2C) RESTful API design and development Experience with third party API integrations (Salesforce experience is a plus) Additional Valued Experience: JavaScript (ES6+) / TypeScript / Node.js Application monitoring practices, such as metrics, tracing and logging Performance optimisation and debugging techniques for serverless architectures Experience with testing frameworks (e.g. XUnit, Jest, MSTest) Experience of building software by a test first approach (TDD, BDD) Experience with build & deployment pipelines (CI/CD) using Azure DevOps Knowledge of Modern Architecture (Serverless, Microservices, Eventing/Messaging) Understanding of authentication and authorization patterns (OAuth 2.0, OpenID Connect) Terraform experience What's in it for you This is a Remote based role Plus more great perks, which include; Uncapped leave, because we trust you to manage your workload and time When we hit our targets, enjoy a share of our profits with a bonus Refer a friend and get rewarded when they join Future Wellbeing support with access to our Colleague Assistant Programmes Opportunity to purchase shares in Future, with our Share Incentive Plan Internal job family level Technology 5 Who are we We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces. We've got ambitious plans that further build on our growth momentum and unlock new opportunities - and we're looking for driven people who want to be a part of it! Our Future, Our Responsibility - Inclusion and Diversity at Future We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table - it's about making sure the table has room for everyone. Because a diverse team isn't just good for business. It's the Future. Find out more about Our Future, Our Responsibility on our website. Please let us know if you need any reasonable adjustments made so we can give you the best experience!

Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We develop and run evaluations that help assess the risks posed by scheming AIs. You will get to work with frontier labs like OpenAI, Anthropic, and Google DeepMind and be amongst the first to interact with new models before anyone else. The ideal candidate loves rigorously testing frontier AI models, and enjoys building efficient pipelines and automating them. YOU WILL HAVE THE OPPORTUNITY TO Run pre-deployment evaluation campaigns on the most capable AI systems in the world. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. You'll be among the first people to interact with new models before anyone else. Deep dive into AI cognition. Scan through thousands of model transcripts to surface behavioral patterns that no one has ever observed before. These patterns are often deeply surprising and fascinating to study, e.g. the non-standard language and the reward seeking reasoning described in our anti scheming paper. Build new evaluations for frontier risks, from designing novel test environments to scaling them across hundreds of distinct scenarios. Work directly with frontier AI developers. Share your findings, engage with their feedback, and see your evaluations directly inform deployment decisions for the most capable AI systems in the world. Automate and improve the evaluation pipeline. We already use automation across building, running, and analyzing evals. Rapid progress in agent capabilities opens up radically new possibilities, and you'll have the freedom to rethink and reshape the pipeline as they emerge. KEY REQUIREMENTS Software engineering skills: Our entire stack uses Python. We're looking for candidates with strong software engineering experience. Ideally, you have experience shipping and maintaining production Python code, and know how to factor messy problems into clean abstractions that others can use and extend. Process optimisation: You always try to improve workflows. Pre deployment evaluations are very fast paced so ideally you love shaving friction off your workflows wherever possible. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing and communication: You succinctly convey qualitative and quantitative findings to a technical and non technical audience. AI power user: You are curious about the capabilities and propensities of frontier AI models. You have experience using different models, know which ones to use for which tasks, when not to use AI, and you always experiment with new AI workflows. (Bonus) We are using Inspect as our primary evals framework, and we value experience with it. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full-time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g. building evaluations and novel evaluation techniques), the science of scheming (e.g. model organisms and the study of scaling trends), and scheming mitigations (e.g. control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Höfstäter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect. Your Privacy and Fairness in Our Recruitment Process We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at .

Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a "Science of Scheming". The goal is ambitious and we're looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards "Scaling laws of scheming". Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: Fast paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL training LLMs: You have hands on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don't fulfil all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. Apollo Research is primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g., to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect.

Managing Consultant - Public Services - Solution Architecture We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Why consider joining our Public Services community as a Solution Architecture Managing Consultant? Join a team where you're trusted to shape your own path, manage your time, and influence real change for our clients and communities. Grow a flexible and unique career within a trust-based,inclusive environment that values excellence, innovation, and curiosity. Be part of a team actively shaping UK Public Servicesand tackling issues that impact our everyday lives Join other experts within our supportive and collaborative community through knowledge-sharing and peer-level support, coaching and mentoring What you can expect Be part of our management team, helping shape and launch new service propositions while driving strategic business growth. Lead business development initiatives -building trusted client relationships, owning outcomes, and delivering innovative, high-impact solutions. Collaborate with FTSE 100 clients as a respected advisor, guiding them through complex challenges with clarity and creativity. Support your team's growth through coaching, knowledge-sharing, and creating opportunities for them to thrive. Consulting experience, leading Architecture and development teams through end-to-end solutions for complex client challenges in the UK Public Services sector. Proven record of contributing to business development and working to sales targets forlarge UK central government contracts (£1m+ contract value size). You have an established network of senior stakeholders inthe sector, with a proven ability to nurture and expand relationships Demonstrated ability to shape and communicate architectural strategies across multiple domains (application, business, integration) You've worked on the Application side of the tech stack, then moved into Solution architecture. Strong familiarity with architecture frameworks and modelling tools (e.g. UML, ArchiMate) Skilled at building trusted relationships with senior stakeholders You've managed teams of developers and technical colleagues While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native architectures, UML, ArchiMate Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Introductory call with one of our senior Talent Acquisition partners to explore your background, the opportunity and PA. Round 1: 3x competency interviews, allowing you to meet different members of PA. Final Round : Business plan presentation with PA leaders - you will be given guidance and time to prepare in advance. Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Hybrid Working- Our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on client site. Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us

TrueNorth are exclusively working with a well known brand who are looking to add a Lead Software Developer / Tech Lead to their very well respected team - there are few organisations doing development and engineering to the level and scale as this team. Having known this organisation for many years, they pride themselves on a very high bar in terms of quality of development and innovation when it comes to their engineering and architecture that supports their products both internally and externally. A lead developer / tech lead for this organisation has the benefit of deciding how they run their product team and how the role looks - for example you could be 20% hands on and 80% leadership activity, or can be more 50/50 - it's up to you. It would be important to note that lead developers while they wont be coding every day, will be involved in discussions around architecture, code reviews and driving the overall engineering agenda in their product team, as well as in discussions with delivery managers and product managers - so its essential the tech lead is from a hands on background and still maintains enough current knowledge in that space. The tech stack in simple terms is: C# .Net Core, Microservices, Azure, and Vue.JS - for these roles specifically we do need the back end skills as a minimum in C# .Net Core Microservices and Azure - ideally however, you would be a full stack developer who enjoys continuous learning and development We have a starting salary up to and around £70,000 for the role, dependant on experience - these roles also come with an impressive bonus and benefits package. The team are working on a 3 days per week hybrid pattern, with their offices being just outside Newcastle City Centre (north) with onsite parking a good transport links. Get in touch for more information.

Job Description We're looking for a senior technical leader to help drive the evolution of a complex, business-critical trading platform within a tier-one investment bank. This role is focused on understanding an existing legacy system - rich in workflow, automation, pricing, booking, and client connectivity - and defining a clear, practical technical roadmap that delivers immediate business value while steadily moving the platform toward its long-term strategic architecture. You'll work closely with engineering teams, quant partners, and senior stakeholders to assess how the platform operates today, including nuanced pre-trade and post-trade flows and bespoke, client-specific FIX implementations. A target architecture is also being defined in parallel, and a key part of this role is evolving the current stack so that it's ready to be migrated to the new platform - identifying dependencies, reducing unnecessary complexity, and ensuring the transition can happen incrementally without disrupting live trading. This is not a greenfield role. Success comes from adding value immediately within a large, demanding codebase - understanding existing Java and .NET systems well enough to reason about trade-offs, guide refactoring or selective rewrites, and make sound architectural decisions under pressure. The roadmap you produce is as important as the changes themselves. A strong candidate will actively embrace agentic AI tooling as a force multiplier - not just to accelerate development, but to rapidly comprehend unfamiliar systems, trace behaviour across services, uncover hidden dependencies, and validate architectural thinking. Combined with deep equities domain knowledge and experience building large-scale distributed systems, this role offers the chance to spearhead meaningful, pragmatic change within a high-impact trading environment. Core skills Ability to assess complex legacy systems, define pragmatic technical roadmaps, and drive incremental modernization toward a strategic target platform. Experience delivering incremental modernization of live, revenue-critical systems under active business demand Experience preparing legacy systems for migration to a target architecture, including dependency analysis, interface stabilisation, and incremental decoupling Strong knowledge of the investment banking domain, with hands on experience in equities pre trade and post trade systems Experience integrating and supporting front office, in house quantitative libraries developed by desk quants within production environments Proactive in using agentic AI tools to accelerate understanding of large, unfamiliar codebases and complex system behaviour, not just development. Comfortable reading and reasoning about large Java and .NET codebases to inform architectural decisions, modernization strategy, and platform transition planning London based, with on site presence required 3 days per week minimum Nice to have Experience with FIX protocol and client connectivity patterns Familiarity with message brokers (Kafka, Solace) and event driven architectures Prior consulting experience or comfort operating across multiple stakeholder groups WFH? This role is hybrid - with on site presence required 3 days per week minimum in London, Canary Wharf. Contract type Both permanent and contract arrangements considered. Eligibility We can only consider candidates who have the right to work in the UK and do not require visa sponsorship. Applicants must be UK based and within a commutable distance to London. Interested? Email with your CV and a brief introduction. Even if you're not sure you tick every box, we'd still love to hear from you - we're always keen to meet passionate, technically curious developers and engineering leads and can keep you in mind for future projects if this one isn't the right fit.