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Our Capability Development team develops bespoke software for our clients in the Cyber Security domain. We may be building assured software that prioritises engineering rigour and reliability, rapid cyber solutions that stitch together tooling for high impact results, or blended operational systems that address real-world challenges in the field. Common to all is commitment to technically led decisions, to meaningful technical challenge, and to engaging career paths where your work makes it off the shelf and into the hands of our customers. All of our roles demand strong technical expertise, meticulous attention to detail, and a commitment to delivering robust, dependable solutions that our clients can rely on when it matters most. Our Operational Technology (OpTech) projects are typically focused on novel communications and analytics, targeting a variety of platforms from bare metal through to large scale Android and Linux deployments. We're looking for full stack developers who thrive on diverse requirements, capable of jumping from front end design to embedded platform development throughout their working week. While much of our existing work uses Python, with a strong understanding of languages such as C, C++, Kotlin, JavaScript and Rust, you'll fit right in. The OpTech team focuses on user driven applications, often involving bespoke hardware solutions. While not required, the best candidates are those with strong fundamentals in Radio Frequency (RF) communications and a desire to learn more. We're led by engineers and empowered to optimise our (lightweight!) development processes with the knowledge gained from each project. We are ideally looking for a candidate who holds an active Security Clearance to join our team, however, we will consider sponsoring new clearances for candidates that meet our technical requirements. Key Responsibilities Designing a new clean slate product with complete autonomy over its architecture. Adding new capabilities to, or replacing a core component of, an existing product. Throwing together a quick and dirty prototype to confirm the feasibility of a proposed technical approach; iterating until it meets requirements. For this role you'll be hands on in the day to day delivery of projects. Typically, this will see you working with one or two other colleagues at a time. In addition, you'll take an active role in unlocking the potential of junior colleagues: encouraging idiomatic code, demonstrating engineering rigour, and sharing hard won knowledge with your peers. You'll also help drive our engineering processes to maintain code quality while balancing realistic delivery timescales and client requirements. Desirable Skills Experience leading a team of developers through a complete project lifecycle, engaging in requirements capture, design review, implementation, and assurance. Commitment to code correctness and quality assurance through static analysis, code review, automated testing, and continuous integration. Comfortable with operating under limited guidelines and requirements. Candidates with hands on experience targeting FPGA and Software Defined Radios and knowledge of traditional Telecommunications and Satellite communications systems. Demonstrable Android development (native or multiplatform). Design, development and maintenance of live micro service platforms. This vacancy is for experienced software engineers and will require skills and experience in several of the areas listed as well as the ability to lead technical projects. Work Benefits Promotions are based on technical excellence and reviewed regularly. 25 days holiday per year (with bank holidays on top), option to buy up to 5 days per year. Level up with an extra day of holiday per year, up to an extra 5 days, starting from 2 years' service. We offer financial support to cover HMRC allowable costs of relocating if you're moving to the area. Training and development opportunities to support your career aspirations O'Reilly books subscription which provides access to huge range of technical books Regular events including internal technical conferences, company socials and pizza fuelled lunchtime seminars. Free seasonal fruit, tea, coffee, milk, squash and hot chocolate. Health Benefits - Private medical including access to Private online GP, and a helpline to speak with various healthcare professionals. Physiotherapists, osteopaths or chiropractors for muscle, bone, and joint pain. Mental health - counselling, and specialist consultations and treatment with psychologists and cognitive behavioural therapists. Annual Health assessment. Financial Benefits A company bonus scheme so that everybody is rewarded for company success. This is an annual award that is based on the company hitting its targeted forecast. We have achieved this every year to date. 8% company contribution to pension with no minimum requirement for employee contribution. Death in Service cover of 4x base salary. Lifestyle Benefits Enhanced maternity/paternity/adoption leave: 12 weeks maternity leave at full pay as soon as you join, further enhanced to 20 weeks full pay from 2 years' service. 2 weeks paternity leave at full pay as soon as you join, further enhanced to 4 weeks full pay from 2 years' service. Enhanced cycle to work scheme including the ability to purchase a bike over £1,000 (e bikes, specialist cycles and trikes allowed).

Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering focused prototyping engine within a high impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof of concept (PoC) solutions - from new dataset pipelines and ML models to AI powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship or kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI assisted internal tools - including applications leveraging LLM APIs, embedding based search, and retrieval augmented generation (RAG) - to demonstrate near term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands on experience with pandas, scikit learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end to end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production readiness, with the discipline to define 'ship or kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade offs clearly to both technical peers and non technical stakeholders. Desired Attributes: Exceptional problem solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over engineering early stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content rich or document heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague to colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.

Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us? We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employer We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Competitive salary UK: Hybrid: remote + Sheffield z/OS Mainframe Systems Programmer At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company's growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. Overview NTT DATA are seeking an experienced z/OS Mainframe Systems Programmer to work on major projects, in one of the largest z/OS Mainframe environments globally. The role involves upgrading and supporting the z/OS operating system and ISV products, mainly from IBM and Computer Associates (CA). Responsibilities Upgrading, maintaining and supporting the z/OS operating system Upgrading, maintaining and supporting ISV products particularly from vendors: IBM and Computer Associates (CA) Working closely with the other Engineering teams to ensure the systems that are built are stable, available, up to date and running as effectively and efficiently as possible Managing hardware and logical resources across LPARs: DASD and tape allocation via HCD/HCM LPAR configuration in HMC Security administration using RACF or equivalent Ensuring data integrity and swift recovery with: DFSMShsm policies and recall management FDR/ABR for high-speed backups FlashCopy or virtual tape replication for near-instant restores Optimizing system throughput and response times utilizing: RMF and SMF report analysis OMEGAMON or BMC MainView dashboards WLM classification and tuning Configuring and supporting mainframe connectivity: VTAM and SNA definitions TCP/IP stack on z/OS OSA adapter and Coupling Facility communication Executing OS and product upgrades with industry-standard utilities: SMP/E for PTF, APAR, and deliverable management z/OSMF workflows for streamlined maintenance Broadcom (e.g., Topaz), IBM, and BMC tooling for fix management and compliance reporting Skills Multiple years of z/OS systems programming experience Should have very strong Parallel Sysplex skills z/OS, TSO/ISPF, USS, SDSF, JCL, RACF Installation of several different IBM and CA products Extensive experience of installing many IBM and CA products Deep mastery of z/OS architecture, including IPL procedures, JES2/JES3 configurations, Sysplex management, SMF data collection, and parmlib customization. Proficient in writing and debugging system-level routines and automation: Assembler for exits and control blocks REXX for scripting and batch utilities JCL for job submission, parameterization, and workflow control Managing hardware and logical resources across LPARs: DASD and tape allocation via HCD/HCM LPAR configuration in HMC Security administration using RACF or equivalent Analytical troubleshooting of abends, storage hangs, and performance anomalies using: Dump analysis with IPCS SLIP and trace tools System logs and console messages Ensuring data integrity and swift recovery with: DFSMShsm policies and recall management FDR/ABR for high-speed backups FlashCopy or virtual tape replication for near-instant restores Performance Monitoring Networking Knowledge Executing OS and product upgrades with industry-standard utilities: SMP/E for PTF, APAR, and deliverable management z/OSMF workflows for streamlined maintenance Broadcom (e.g., Topaz), IBM, and BMC tooling for fix management and compliance reporting Project Management & Hardware Refresh Planning and leading hardware refreshes, feature activations, and migrations with minimal downtime, including IPL scheduling, vendor coordination, and change-control governance. Producing clear system diagrams, runbooks, and upgrade plans, while collaborating with application teams, storage, networking, and security groups. Documentation and Communication Should have ideally worked in a Bank or organisations with large installations Should be confident, able to work independently and start contributing from day one Must have excellent problem-solving skills and be a true team player Will need to provide off hours support for the implementation of software changes, when required Staying current on IBM Redbooks, z/OS release notes, firmware updates, and attending vendor training (IBM, Broadcom, BMC) or industry conferences. Work setup Hybrid working: remote + on client site (Sheffield) Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package. Equal Employment Opportunity NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Role: SOC Shift Lead - London Location: London Salary: Competitive salary and package dependent on experience Career Level: Associate Manager Please Note: Any offer of employment is subject to satisfactory BPSS and the candidate being granted a level of security clearance which typically requires 10 years continuous UK address history, usually including no periods of 30 consecutive days or more spent outside of the UK, and a declaration of being a British passport holder with no dual nationality at the point of application. Note: The above information relates to a specific client requirement Role Description: SOC Shift Lead - London provides advanced investigation and analysis, acting as the escalation point for complex or high severity incidents. They conduct root cause analysis, guide L1 analysts, and support incident containment and remediation efforts. The role is part of a high performance compute operations team operating 24/7, with shift teams paid a premium for unsociable shift hours. Key Responsibilities Investigate escalated incidents to determine attack vectors, scope, and potential impact. Correlate events across multiple data sources to build a comprehensive incident narrative. Execute containment, eradication, and recovery activities in coordination with IT/OT stakeholders. Lead response for medium to high severity incidents and document detailed investigation reports. Conduct tuning of detection rules and thresholds in collaboration with the Security Content Engineer. Support continuous improvement by identifying gaps in detection coverage and playbooks. Mentor and provide technical guidance to L1 Analysts. Participate in periodic SOC exercises and simulated incident response drills. Be part of a 24/7 SOC Team, working in shifts. As a shift lead you will be responsible for handling escalations of the Technology Operations Centre in that particular shift. You will be accountable in the absence of a SOC manager or NOC lead. Role Requirements Education: Bachelor's degree in Cybersecurity, Computer Science, or related field. Experience: 7-10 years in SOC, Incident Response, or Threat Analysis roles. Certifications (preferred): GCIA, GCIH, CompTIA CySA+, Microsoft SC 200, or Splunk Certified Power User. Essential Skills Strong analytical mindset, in-depth knowledge of SIEM/EDR tools, malware behaviour, and incident handling methodologies.

JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real world problems using your quantitative background and experience, this may be just the team for you. Job responsibilities Work with business leads to develop AI/ML driven analytics and automation that support their business goals Build up a scalable data architecture to handle the large volume of transaction data Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints Drive projects end to end, from brainstorming, prototyping, data processing, data analysis to model development Make real world, commercial recommendations through effective presentations to various stakeholders Leverage data visualization to communicate quantitative insights to help business decision making Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward Required qualifications, capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc. Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end to end from prototype to production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub You demonstrate hands on experience in solving sequential decision making problems Experience in applying LLMs and/or deep learning methods to solve business problems Experience in working with Cloud and/or HPC environments Equal Opportunity Employment We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs.

The Blackstone Group L.P. is seeking an AVP - Liquid Credit Technology to develop and manage fixed-income asset management systems. The ideal candidate will have experience in cloud-native technologies, particularly AWS, and proficiency in C#, JavaScript, and other related technologies. Responsibilities include building secure applications, mentoring junior developers, and integrating various systems and services. A Bachelor's degree in a relevant field along with proven software development experience is required.

Cititec is seeking a Python Engineer in London to join a high-performing Risk Technology team. This role involves designing and developing a modern risk platform for trading activities, suitable for early-career engineers. With 2-3 years of experience in Python, you will collaborate with traders and analysts to create robust applications. The position offers exposure to distributed systems, cloud technologies, and agile practices. Ideal candidates have a degree from a leading university and strong problem-solving skills.

We are a well-established globalteam, developing world-leading military simulations and solutions for major NATO powers and their allies. We constantly seek ways to advance the industry using the latest technologies and trends (such as whole-world simulations, motion tracking, VR, and AR). As a Solutions Engineer at OneArc, you are the technical bridge between our simulation technology and our customers' mission-critical objectives. In this role, you will partner closely with our Business Development, Engineering, and Product teams to translate complex needs into actionable technical designs. You are a storyteller and a strategist who excels at simplifying sophisticated concepts for diverse audiences, ensuring that our solutions don't just meet requirements-they drive real value. If you have a passion for the defense simulation industry, a talent for building lasting client relationships, and the technical expertise to architect the future of training, we want to hear from you. This is a senior-level position; the successful candidate would be expected to lead by example with other SEs and work to high proficiency levels on the most demanding of tasks. The successful candidate should demonstrate all of the below Key Areas of Responsibilities, Objectives, Skills, Education and Experience and Additional Attributes to a proven and high standard. Key Areas Of Responsibility Client Interaction: Able to engage directly with industry and military clients to understand and gather training and technical requirements and showcase the functionality of existing OneArc products. Technical Expertise: Possess a deep understanding of OneArc's products, services and integrated solutions. Understands the customer's needs and translates them into comprehensive technical solutions. Communication: Facilitating clear and effective technical and commercially minded communication between the customer and internal teams, including sales, engineering, finance, executives and product management. Requirements Gathering: Collaborates with customers to gather and understand their technical requirements and designs compelling and competitive solutions. Ensures that OneArc's solutions meet or exceed those requirements and that all stakeholders in OneArc (Sales, Engineering, Project Management, and Product Management) have an agreed understanding of the solution. Solutions Design: Designs and presents technical solutions, conducts product demonstrations, and collaborates with the sales team to ensure the proposed solution meets client requirements. Commercial Awareness: Essential for effectively aligning technical solutions with the specific needs and objectives/constraints/realities of both OneArc's and the customer's businesses in an actionable, deliverable, and realistic schedule that maximizes cash flow. Writing: Possess strong writing skills to succinctly and articulately describe OneArc's technical solutions, benefits, and commercials within proposals and presentations (internal and external) Organized: Are highly organized and operate at high levels of efficiency to ensure the continuous management of multiple opportunity responses that require varied outputs. Implementation Support: Involved in the initial design, implementation, and acceptance stages. Technical Leadership: This role works with internal teams to ensure successful delivery during pre-sales. Typically, it takes a leadership role in technical decision-making, guides development teams, and ensures that the architecture meets performance, scalability, and security requirements. Skills and Education Degree level or above in numerate, physics or computer science field or or equivalent work experience Experience in simulation technology (hardware and software). Customer requirements management. Experience in solutions architecture and systems engineering principles. In-depth knowledge of computer hardware and software. Detailed knowledge of software development process and principles. Experience in the defense simulation industry would be beneficial. Practical use of VBS or other COTS simulation software applications in military simulation would be beneficial. International and domestic travel will be required for this position. Benefits 25 days of PTO Pension (Salary Sacrifice Scheme Optional) 5% company contribution, 5% employee Private Medical Healthcare plan through Vitality A lump sum of 3x annual salary 'Life Assurance (Death in Service)'. Free Gym Access scheme Share Incentive Plan (SIP) - through BAE Systems

Python Engineer Contract 4 Days Onsite Industry: Trading / Capital Markets Location: London 4 Days Onsite Job Type: Contract Our client is a leading global commodity trading firm investing heavily in the next generation of risk technology. As part of a major greenfield initiative, they are building a modern, scalable risk platform that will underpin trading activity across multiple asset classes and global markets. They are seeking a Python Engineer to join a high-performing Risk Technology team responsible for designing and developing this new platform from the ground up. Working alongside experienced engineers, quantitative developers and front office stakeholders, you will play a key role in building highly performant, reliable systems that support real-time risk analytics and decision making. This is an exceptional opportunity for an early-career engineer looking to work on complex engineering challenges within a world-class trading environment. You'll gain exposure to distributed systems, cloud technologies and modern software engineering practices while contributing to a business-critical platform from its inception. What You'll Be Doing Design, develop and maintain Python applications that form part of a new enterprise-wide risk platform. Collaborate closely with traders, quantitative analysts and risk teams to translate business requirements into scalable technical solutions. Build robust APIs, data pipelines and backend services supporting risk calculation and reporting. Contribute to system architecture and engineering best practices within a greenfield environment. Write clean, well tested and maintainable code, following modern software engineering principles. Participate in code reviews and collaborate with senior engineers to continuously improve the platform. Optimise application performance and reliability for high-volume, low latency trading environments. Work within an Agile engineering team delivering high-quality software through continuous integration and deployment practices. Requirements Essential 2-3 years' commercial experience developing software in Python. Strong computer science fundamentals, including algorithms, data structures and object-oriented programming. Degree in Computer Science or a closely related discipline from a leading university, ideally Oxbridge or a Russell Group institution. Experience building backend applications, APIs or distributed systems. Strong understanding of software engineering best practices, including testing, version control and code quality. Excellent problem-solving skills with the ability to work on technically complex challenges. Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders. Highly Desirable Experience within financial services, trading or capital markets. Exposure to risk systems or market data platforms. Knowledge of cloud platforms such as AWS or Azure. Experience working with SQL databases and large-scale data processing. Familiarity with containerisation technologies such as Docker and orchestration platforms including Kubernetes. Exposure to CI/CD pipelines and modern DevOps practices. An interest in quantitative finance, risk analytics or commodity trading.

SRE Observability Technical Lead - Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted 8 Days Agojob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech . The SRE Observability Specialist is a hands-on expert, delivering the future of Observability across Services Technology. This role is a part of a central SRE enablement team within Services Production, working closely with SREs, developers, and platform teams to embed telemetry, implement SLOs, and build meaningful visualizations for key production flows - particularly in critical Payments Business.The ideal candidate will have deep technical knowledge, a collaborative mindset, and the ability to translate strategy into scalable engineering outcomes. You will also act as a bridge between Services Technology teams and central infrastructure/CTO teams, prioritising observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment monitoring like Building an End-to-End payments Dashboard, Toil Reduction, Transformation of legacy monitoring into observability based monitoring solution, requires good understanding of different Payments Taxonomy (ACH, Wires, Instant Payments, etc.). Strong commercial awareness, technical credibility, and excellent communication skills are essential to negotiate internally, influence peers, and drive change. Some external communication may be necessary. Key Responsibilities: Define the roadmap for Engineering enablers for Project Orion team aligned with enterprise reliability and SRE Services organization goals. Translate Organization strategy into an actionable delivery plan in partnership with Services Products, Operations & Engineering function, delivering incremental, high-value milestones. Understand Critical Business Services functional scope and translate into End-to-End monitoring solutions. Deliver against the observability roadmap for Services Technology by building scalable, reusable telemetry solutions. Periodic review and analyze application monitoring TOIL and collaborate with stakeholders and remediate them as per organization goal. Create and maintain dashboards and visualizations for critical client journeys, including real-time flows across Payments. Guide line-of-business teams in implementing SLIs/SLOs, golden signals, and effective alerting to support operational excellence. Support integration and adoption of observability tooling across on-prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes). Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. Provide technical support and implementation guidance to SREs and developers facing integration or tooling challenges. Effectively manage the observability book of work for Services Technology and drive initiatives to reduce MTTD and improve recovery outcomes. Serve as a key connection point between line-of-business SREs and central infrastructure functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum. Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability. Maintain strong knowledge of observability platform features and vendor offerings to advise teams and maximize the value of tooling investments. Foster AI adoption by building use cases performed by Orion L1 Functions and remediation using Citi AI tech stack. Qualifications: Experience in SRE, Observability Engineering, or platform infrastructure roles focused on operational telemetry. Hands-on experience in observability tools and stacks such as Grafana, Prometheus, OpenTelemetry, ELK, Splunk, and similar platforms. Deep understanding of SLIs, SLOs, Error Budgets, and telemetry best practices in high-availability environments. Proven ability to troubleshoot integration issues and support observability across hybrid platforms (on-prem, cloud, containers). Experience building dashboards aligned to business outcomes and incident workflows, especially in critical flows like payments. Familiarity with modern observability tooling ecosystems, including AI/ML capabilities, trace correlation, baselining, and alert tuning. Strong interpersonal and collaboration skills - able to operate across federated engineering teams and central infrastructure groups. Experience in enablement or platform teams with a track record of scaling best practices across diverse business units. Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Senior Automation Engineer, Laboratory Automation & BiobankingApplylocations: Oxford - England: Clinical Developmenttime type: Full timeposted on: Posted Todayjob requisition id: R19333 The Role: Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients.At Harwell, you will help shape the future of laboratory automation within Moderna's Clinical Biomarker Laboratory, driving the development of highly integrated, scalable, and digitally connected laboratory systems. Working at the intersection of automation engineering, biomarker science, data architecture, and emerging AI capabilities, you will enable high-throughput clinical biomarker operations that directly support Moderna's clinical development portfolio.This is a highly technical individual contributor opportunity for an automation expert who thrives on solving complex laboratory challenges, integrating advanced technologies, and building next-generation automated workflows. You will serve as a key technical leader, partnering across laboratory, digital, quality, operations, and external vendor teams to deliver innovative solutions that enhance scientific productivity, data quality, and operational excellence. Here's What You'll Do: Serve as a technical leader for laboratory automation within the Clinical Biomarker Laboratory, supporting and expanding automation capabilities across biomarker testing and sample management operations. Design, develop, implement, and optimize automated workflows for biomarker assays utilizing advanced liquid handling platforms, including Hamilton technologies and Hamilton VENUS software. Lead the deployment of integrated automation solutions, including dynamic scheduling platforms that enable efficient coordination of laboratory processes. Translate manual laboratory workflows into scalable, high-throughput, automated systems that improve efficiency, consistency, and operational performance. Act as the subject matter expert for complex automation troubleshooting, root cause analysis, and technical issue resolution across automation platforms. Develop and implement solutions that enable seamless data integration between laboratory instruments, automation systems, LIMS platforms, and enterprise applications. Design, build, and maintain robust data structures, data pipelines, and workflow architectures supporting laboratory automation and biomarker assay operations. Develop and support system integrations using REST APIs, web services, middleware technologies, and modern connected laboratory architectures. Contribute to the development and implementation of AI-enabled and machine learning-driven laboratory workflows, automation enhancements, and decision-support capabilities. Partner closely with Digital teams to create connected laboratory ecosystems that leverage data, automation, and emerging technologies to accelerate scientific outcomes. Provide technical leadership and operational support for automated biobanking platforms, including systems such as Hamilton BiOS. Ensure operational readiness, reliability, maintenance, and performance optimization of automated sample storage and biobanking systems. Support commissioning, qualification, validation, and lifecycle management activities for automation and sample management platforms. Drive improvements in sample tracking, inventory control, storage efficiency, and end-to-end sample management processes. Serve as system owner for critical laboratory automation platforms, ensuring reliability, compliance, and continuous improvement. Evaluate, identify, and implement new automation technologies, software solutions, and digital capabilities that support future laboratory needs. Lead investigations into automation deviations, system issues, and performance gaps, implementing corrective and preventive actions where required. Maintain accurate documentation, technical records, and system configurations in accordance with SOPs, regulatory requirements, and quality standards. Ensure automation systems operate in compliance with applicable GLP and GCLP requirements and support validated laboratory operations. Collaborate extensively with Automation, Immunoassay, Operations, Digital, QA/Validation, and external partner organizations to deliver integrated solutions aligned with clinical development priorities. Interface with vendors and technology partners to support system implementation, optimization, upgrades, and long-term platform strategy. Mentor junior engineers and provide technical guidance to colleagues across automation initiatives. Deliver training and knowledge transfer to laboratory personnel on automation platforms, workflows, and best practices. The key Moderna Mindsets you'll need to succeed in the role: We digitize everywhere possible using the power of code to maximize our impact on patients. We obsess over learning. We don't have to be the smartest we have to learn the fastest. Here's What You'll Need (Basic Qualifications) Bachelor's or Master's degree in Engineering, Computer Science, Biotechnology, Robotics, or related field 5+ years of experience in laboratory automation or robotics Experience with liquid handling systems and automation platforms Experience integrating systems using APIs (REST or similar), databases, or middleware technologies Based on-site at Harwell, UK Ability to work in a laboratory environment Ability to lift equipment/materials with assistance ( 25 kg) Occasional flexibility in working hours Here's What You'll Bring to the Table (Preferred Qualifications) Programming experience in Python, Java, C++, or similar Experience with data structures, database design, and LIMS integration Exposure to AI/ML applications in laboratory or automation workflows Experience with Hamilton platforms (VENUS, BiOS) Experience with automation scheduling software (Momentum, Cellario, etc.) Familiarity with web services (REST/SOAP) and distributed systems Experience in regulated environments (GCP, GLP, ISO standards) Knowledge of version control (Git) and Agile methodologies Strong troubleshooting and communication skills Pay & Benefits At Moderna, we believe that when you feel your best, you can do your best work. That's why our global benefits and well-being resources are designed to support you-at work, at home, and everywhere in between. Best-in-class healthcare, plus voluntary benefit programs to support your unique needs A holistic approach to well-being with access to fitness, mindfulness, and mental health support Family building benefits, including fertility, adoption, and surrogacy support Generous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investments to help you plan for the future Location-specific perks and extrasThe benefits offered may vary depending on the nature of your employment with Moderna and the country where you work. About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free, and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is committed to equal opportunity in employment and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at .

Central Oxford We are seeking a full-time Robotics Software and Systems Engineer to join our team at Oxford Robotics Institute (ORI), an independent institute within the Dept of Engineering Science in central Oxford. The post is fixed-term til Jun, 2027 in the first instance. A recent winner of The Queen's Anniversary Prize for innovation in autonomous robotic technologies, the ORI is a diverse and collaborative community composed of researchers, engineers, and students all united in our drive to transform what robots can do for us. Our current interests are diverse - from flying to grasping, from inspection to running, from haptics to driving, from exploring to planning. We are one of the top research groups in the UK that specialises in large-scale mobile autonomy - both indoors and outdoors. We validate our thinking and challenge ourselves by deploying robotic systems in real application environments. As the successful candidate, you will be part of a diverse team responsible for designing, building, programming, testing, and maintaining a large fleet of robots and systems. You will have a background in developing, deploying, and maintaining code that interfaces with hardware. You will have experience writing software in C++ and Python, using libraries and technologies including CUDA, ROS, ROS 2, PyTorch, Docker and CI/CD tooling. You will be able to create and debug large software projects, develop containerised applications, implement automated build and deployment workflows, and write interfaces to integrate sensors into complex systems. The scope of the role spans the entire concept-to-deployment process. You will get to work on projects which include developing long term autonomy, allowing wheeled and legged robots to navigate new and challenging environments. As part of the engineering team, you will have the opportunity to provide software and systems support during field trials; working with on-site teams to oversee robotic platforms from both a technical and health and safety standpoint. For more information about the ORI, please see: ori.ox.ac.uk Informal enquiries may be addressed to Joel Kellam (email: ) The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. For more information about working at the Department, please see: Only applications received before midday on the Friday 7th August 2026 can be considered. You will be required to upload a covering letter/supporting statement, (describing how past experience fit with the advertised position), CV and the details of two referees as part of your online application.