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We are looking for aSenior Software Engineer(Backend) to play a pivotal role in leading the design, development, and deployment of complex software solutions. You will architect and maintain data engineering pipelines, backend services, and APIs, delivering reliable and scalable systems that address business needs across diverse industries. This position requires deep expertise in software engineering concepts, advanced coding abilities (preferably Python), and hands on experience with cloud deployments, databases, and containerisation (Docker). We're looking for someone with a co-operative, can do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Contribute to the design, development, and deployment of robust software solutions, promoting best practices throughout the software development lifecycle. Contribute to architecting and maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance. Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards. Support cloud based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced Docker skills including storage, volumes, and permissions. Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity. Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices. Troubleshoot and enhance existing systems, applying advanced problem solving and analytical skills. Effectively communicate technical concepts and project outcomes to stakeholders through written documentation, calls, and presentations. Demonstrate high attention to detail across all development activities, contributing to deliverables that meet technical and business requirements. Remain up to date with emerging software engineering technologies and industry trends and proactively suggest improvements and new approaches. Identify technical risks and contribute to project planning and task management, helping to achieve successful outcomes. KEY REQUIREMENTS: Mastery of at least one programming language (preferably Python) with deep understanding of advanced technical concepts (system architecture, microservices, cloud-native design, OOP, concurrency, decorators, recursion) Experience in delivering, designing, and deploying scalable software solutions and complex software projects, including backend services, data engineering pipelines, and APIs Experience in DevOps practices, such as CI/CD, version control (Git, GitHub, Azure DevOps), infrastructure as code, and collaborative workflows Experience with Docker development workflows, including DockerFiles, storage, volumes, and production grade deployments Strong understanding of databases (SQL Server, Postgres) and ORMs (e.g., SQLAlchemy, Prisma), including database migrations (Alembic) Advanced knowledge of cloud deployment (AWS, Azure) and Linux scripting (e.g., bash) High attention to detail with a thorough approach to code review and testing Track record of mentoring, establishing engineering best practices, and code quality assurance Effective communication skills, able to convey complex technical concepts to diverse audiences (stakeholders, technical/non-technical) Demonstrated ability to work independently and make architectural decisions Ability to identify, propose, and implement improvements to engineering processes Strong problem-solving skills and analytical thinking Hands on experience with cloud infrastructure (deployment, monitoring, scaling) INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 mins live coding task Stage 3: 90 min F2F interview in our London office OUR BENEFITS: At ADSP, we believe in rewarding talent and supporting your growth. Here's what you can look forward to as part of our team: Competitive compensation package including annual performance bonus 26 days of annual leave, 8 bank holidays plus your birthday off BUPA Private Healthcare Enhanced family leave £1,000 annual development budget Flexible hybrid working (2 days a week in our modern Shoreditch office) Remote working from anywhere in the world for up to 4 weeks each year Latest tech that suits your needs: high-spec Windows machine or a MacBook Free snacks and drinks, and regular team socials Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future. OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back Office personnel to best utilize the firm's data and platform tools. Technical requirements summary: Have extensive experience designing and building data pipelines Have experience working within modern batch and streaming data ecosystems An expert in SQL and Java or Python Extensive knowledge of data modeling techniques Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions Able to contribute to project management and project reporting Have experience driving nontrivial data migrations across platforms Able to establish, follow, and enforce data modeling standards across a large ecosystem. What you will do in this role: Model, build, and manage data products built atop DRW's Unified Data Platform. Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back office purposes. Design data governance processes that enable discovery, cost sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies. Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes. Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team's on call rotation to respond to unanticipated changes. Rapidly respond to user requests, identifying platform gaps, and self service opportunities that make the user experience more efficient. What you will need in this role: 7+ years of experience working with modern data technologies and building data first products. Excellent written and verbal communication skills. Proven ability to work in a collaborative, agile, and fast paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment. Proven ability to deliver rapid results within processes that span multiple stakeholders. Strong technical problem solving skills. Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines. Experience leveraging data modeling techniques and ability to articulate the trade offs of different approaches. Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.). Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade offs. Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.). Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low level details. Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead letter queues. Prior experience triaging data quality control processes, correcting data gaps and inaccuracies. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at California residents, please review the California Privacy Notice for information about certain legal rights at

Salary and Employment Details Salary: £80,000 DOE Full Time Permanent Who we are SubSea Craft is a fast growing, privately-funded, UK-based innovative maritime technology company specialising in next-generation, high-performance watercraft and systems. We operate at the intersection of advanced engineering, cutting-edge design, and user-centric innovation, delivering safe, effective, and enabling solutions for both commercial and defence applications. What we offer Pension Contribution - Pension scheme with the option to contribute via salary sacrifice. Annual Bonus Scheme - Eligibility to participate in the company's annual discretionary bonus scheme, linked to individual and company performance. Life Assurance and Critical Illness Cover - Comprehensive protection including Life Assurance (4x salary) and Critical Illness Coverage. Annual Leave - 25 days of annual leave plus bank holidays. Christmas Leave - A Christmas shutdown is typically observed. Wellbeing Day - An additional Wellbeing Day each year to focus on personal health and wellbeing. Family Leave - Enhanced maternity and paternity pay. Private Healthcare - Access to comprehensive private healthcare coverage to support physical and mental wellbeing. Professional Development - Commitment to ongoing learning and career growth, supported by training programmes and access to LinkedIn Learning. Flexible Working - Opportunities for flexible working arrangements to promote work-life balance. Inclusive Culture - A professional environment that values diversity, innovation, and collaboration. Role Summary The Physical and Digital Security Manager is responsible for developing, implementing and continuously improving the organisation's protective, physical, information and cyber security arrangements, ensuring security risks are effectively managed in support of business objectives, contractual obligations and regulatory requirements. The role provides leadership across physical security, information security governance, cyber resilience and personnel security, including oversight of the Information Security Management System (ISMS), management of security risks and incidents, and assurance that appropriate controls are in place to protect people, assets, information and operations. The role acts as the company's subject matter lead for security matters, working cross-functionally with internal stakeholders, external partners and relevant authorities to support a robust and proportionate security posture across the organisation. Responsibilities Security Strategy and Governance - develop and implement the organisation's security strategy, policies and procedures aligned to business objectives, risk appetite and legal, regulatory and contractual obligations. Risk Management - lead identification, assessment and treatment of risks across physical, personnel, information and cyber security domains. Physical and Protective Security - maintain and continuously improve the integrity of physical security arrangements across company facilities, assets and operations. Information Security Management - implement, manage and continuously improve the organisation's Information Security Management System (ISMS), ensuring security policies and procedures are maintained, communicated and embedded. Cyber Security - conduct vulnerability, threat and risk assessments, ensuring appropriate mitigation measures are implemented to address identified cyber threats and weaknesses. Technology Security Oversight - oversee the security of the technological estate, including security assurance and oversight of internal IT team, outsourced IT and managed service providers. Personnel Security and Vetting - manage personnel security vetting activities, including sponsorship, submissions, renewals and liaison with United Kingdom Security Vetting where required. Third-Party and Supply Chain Security - evaluate and assure suppliers and third parties against security requirements and contractual obligations. Incident Response and Resilience - lead and coordinate response to security incidents, including containment, investigation, recovery and lessons learned. Project and Change Support - provide security subject matter expertise into company projects and change initiatives, ensuring security risks are considered throughout the project lifecycle. Training and Security Culture - promote and support security awareness and training across the organisation to strengthen security culture and compliance. Compliance and Assurance - ensure appropriate policies, controls and processes support compliance with applicable legal, regulatory and contractual security requirements. Performance Reporting - develop and monitor security performance metrics and KPIs, providing assurance and reporting to senior leadership and the board. Data Protection - support compliance with data protection obligations, including response to data incidents and data subject requests. Qualifications and Experience - Required Proven experience (5+ years) in security management spanning digital, cyber, information and/or protective security environments. Experience managing security risks across both physical and digital security domains. Strong understanding of information security principles, threats, vulnerabilities and mitigating controls. Experience implementing or operating security frameworks such as ISO/IEC 27001, NIST and relevant regulatory frameworks including GDPR. Knowledge of National Cyber Security Centre guidance, including the 14 Cloud Security Principles. Experience overseeing incident response, security assurance and third party security management. Experience overseeing or coordinating penetration testing, vulnerability assessments and remediation activities, including interpretation of findings and management of corrective actions. Experience delivering security reporting and assurance to senior stakeholders. Strong project management capability, including management of multiple initiatives simultaneously. Excellent communication, interpersonal and written skills. Ability to work effectively across functions and influence stakeholders at all levels. Eligible to obtain and maintain Security Check (SC) Clearance. Qualifications and Experience - Desirable Current SC clearance (or higher). Experience administering personnel vetting applications through United Kingdom Security Vetting. Experience operating within defence, national security, critical infrastructure or similarly regulated environments. Understanding of protective security guidance from National Protective Security Authority and National Cyber Security Centre. Eligibility for Developed Vetting where required to support specific programmes. Bachelor's degree in Information Security, Computer Science, Engineering Management or related discipline. Professional certifications such as: ISC 2 CISSP ISACA CISM ISO27001 Lead Auditor / Implementer NIST Foundation or Practitioner CCSP Chartered Security Professional (CSyP) Note Due to the nature of work undertaken at SubSea Craft, the selected candidate must be capable of meeting the security requirements of the position, which would include as a minimum existing right to live and work in the UK, Baseline Personnel Security Standard (BPSS), with UK National security clearance required for certain roles. Values Our people are our greatest asset, we continually strive to provide an excellent working environment to enable our team to do their best work. We have an agile professional workforce: we are founded on the belief that our people are valued and our business is trusted, inclusive and commercially adept. What we expect from you Teamwork, mutual respect and collaboration Initiative and independent working Honesty and integrity Business and commercial awareness Agility, adaptability and continuous development Commitment to Inclusion We are committed to building an inclusive, diverse workplace where everyone can thrive. If you require any support or adjustments to interact with us, please let us know.

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

Senior/Principal DevOps Engineer Application Deadline: 31 May 2026 Department: Platform Engineering Employment Type: Permanent Location: London (Hybrid) Compensation: £70,000 - £100,000 / year Description Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. This role also requires applicants to be willing to work on-site up to 4 days per week. At Gemba Advantage, we design and run secure, cloud native platforms for critical public sector organisations across the UK. Our teams build and automate the infrastructure and pipelines that high impact systems depend on. We're looking for experienced DevOps Engineers who want to shape modern delivery, lead technical decisions, and work with people who care about doing things properly. You'll help design and evolve cloud environments, improve engineering practices, and solve challenging problems alongside our customers. The Role: Design and deliver robust automation, platforms, and CI/CD pipelines for complex systems Use Infrastructure as Code and cloud native tooling to create secure, scalable environments Lead technical reviews, guide engineering decisions, and support fault fixing and maintenance Mentor engineers, improve ways of working, and champion continuous improvement and security What you'll bring: Active, or recently active, SC or DV clearance (essential) Strong experience with cloud platforms (Like AWS) and production environments Deep hands on experience with IaC tools (Terraform, CloudFormation, CDK) and Kubernetes/Docker Confidence designing and operating secure CI/CD pipelines, using Git and modern DevOps practices Practical experience with databases, APIs, programming/scripting languages, and a range of operating systems Tech we commonly use Terraform - CloudFormation - CDK AWS - Kubernetes - Docker Git - CI/CD - GitOps Elasticsearch - MongoDB - relational DBs Python - Go - Bash Why join Gemba? We're guided by four core values that make Gemba a great place to work: Our people are our most important asset, and we prioritise their needs. We succeed and fail as a team, not as individuals. We do the right thing and we do the thing right. We keep an unwavering focus on the customer's needs. Away from our values, Gemba offers an excellent and comprehensive package to our Gembans, including great salaries, meaningful perks, a culture of truly rewarding and celebrating success, amongst many other core benefits like flexible pensions and PMI. Equal Opportunity At Gemba we celebrate diversity and are committed to creating a diverse and inclusive workplace, therefore we make sure that our recruitment and selection processes never discriminate based upon age, race, religion, disability, sex, sexual orientation, gender reassignment, marriage and civil partnership, or pregnancy, and actively welcome applications from all groups. As an Equal Opportunity Employer, we recognise, and studies confirm, that often underrepresented candidates in the workplace are less likely to apply to roles unless they meet all skills and experience of the position.

About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. For more information visit Position Reference: VN2644 Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Role Summary We are seeking a Principle DataOps Architect to own and embed a DataOps way of working across the enterprise data organisation. This is a greenfield role with a clear organisational mandate and significant scope to define how DataOps frameworks, tooling, and engineering standards are applied across our data platforms. The role is accountable for enabling the safe, reliable, and frequent delivery of production grade data capabilities, supporting real time management information, critical systems integration, advanced analytical and ML model refreshes, and accurate, timely data for customer facing AI solutions. Acting as a force multiplier for Data Engineering, AI/ML Engineering, and Analytics teams, the role combines deep technical leadership with senior level stakeholder engagement, shaping a culture of quality, automation, and operational excellence while translating governance, risk, and control requirements into engineering patterns that scale effectively and support delivery at the pace of the business. Responsibilities Role specific: Design, implement, and operationalise the DataOps target state through consistent frameworks, tooling, and standards aligned with enterprise architecture, governance, and assurance requirements. Build and maintain CI/CD pipelines for data and ML workloads, enabling controlled, automated promotion across development, staging, and production environments. Enforce separation of duties between engineering and production administration to support regulatory, risk, and operational assurance requirements. Define and implement test driven development practices for data pipelines, including unit, integration, and end to end testing. Embed data reliability patterns aligned to the Medallion Architecture (Bronze, Silver, Gold). Implement data quality enforcement, monitoring, and observability frameworks to improve platform trust and stability. Apply software engineering and SDLC best practices consistently across data and ML workloads. Provide hands on technical leadership and design advisory services to Data Engineering, AI/ML Engineering, and Analytics teams, ensuring solutions align with DataOps standards and patterns. Build and maintain reusable DataOps toolkits, templates, and reference architectures to accelerate adoption and consistency. Partner with Governance, Risk, and Control stakeholders to translate policy and regulatory requirements into pragmatic, repeatable engineering controls. Support production readiness, release governance, and post incident learning for data platforms, contributing to continuous improvement in scalability, resilience, and operational excellence. Champion DataOps, analytics, and engineering best practices across technical and business teams, promoting a culture of automation, quality, and disciplined delivery. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills, Experience & Qualifications Competencies Excellent verbal and written communication skills. A collaborative team player, approachable, self efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience: Essential Strong experience implementing DataOps or DevOps practices in complex data environments. Proven expertise designing and operating CI/CD pipelines for data and analytics workloads. Hands on experience with Databricks (AWS and/or Azure) in production environments. Strong proficiency in Python and SQL. Experience applying Infrastructure as Code (IaC) using tools such as Terraform. Deep understanding of data platform reliability, observability, and quality controls. Strong knowledge of software engineering best practices and SDLC. Ability to operate as both hands on engineer and strategic enabler. Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Desirable Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands on experience with: Orchestration Platforms such as Azure Data Factory and Apache Airflow, Databricks Asset Bundles, Power BI, Data Transformation Platforms such as dbt and Databricks Lakeflow. Experience with Azure DevOps (ADO), Bitbucket, and Git based workflows. Advanced use of VS Code and developer productivity tooling (e.g. GitHub CoPilot). Experience supporting ML pipelines and model lifecycle operations. Prior involvement in building or scaling enterprise data platforms. Databricks Certified Data Engineer Professional. DAMA Certified Data Management Professional (CDMP). Conduct Rules You must: Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

A leading consulting engineering firm in Huddersfield is seeking a Principal Highways / Infrastructure Engineer to lead highway and infrastructure projects. The role involves project management, client engagement, and oversight of junior staff. Candidates should have a degree in Civil Engineering, chartered status, and strong project management experience. The position offers a collaborative environment, competitive salary, and various benefits, including a contributory pension and flexible work arrangements.

London (Hybrid - 2 days onsite) Permanent Start ASAP Experience: Senior Create the future of travel with us Whether it's to visit the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is an essential part of our lives. Yet we've all experienced the aches and pains of getting to our destination. Today, more than 4 billion airline passengers rely on technology that hasn't kept up with the expectations of the modern connected traveller. That's why we've started to rebuild the infrastructure that underpins the travel industry. We're on a mission to unravel travel - simplifying systems and building the tools that will make the future of travel effortless. We were part of Y Combinator S18's cohort and we are backed by Benchmark, Blossom, Index Ventures and Kima Ventures. Our team in London is growing and we're looking for talented people to join us on our journey. AI at Duffel Travel is one of the most demanding domains for AI. A single trip can span multiple airlines, hotels, payments, policies, and time zones - and when something goes wrong, travellers need answers fast. We're building a chat-based AI assistant that helps travellers manage trips booked through Duffel: changing a flight, understanding a fare rule, recovering from a disruption, getting a receipt - all the things that today mean a phone call or a long wait. Behind that experience sits a platform: the orchestration, retrieval, memory, and evaluation systems that let agents reason reliably over real bookings, real money, and real policies. As a senior AI Engineer, you'll help build that platform from the ground up and set the technical direction for how we build agents at Duffel. What you'll get to do Design, ship, and own production-grade AI agents end-to-end - from intent through to taking action against Duffel's APIs - and define the agent development lifecycle the rest of the team will follow. Build the core platform that powers our agents: the orchestration engine, runtime, and primitives that define how agents reason, take actions, and interact with users - keeping them steerable and verifiable while staying conversational and adaptive. Make agents trustworthy. Build the retrieval and grounding systems that ensure responses are accurate, and the evaluation frameworks that let us measure and improve agent quality deliberately rather than vibes-first. Lay the foundations for memory and personalisation: long term agent memory, reusable customer data primitives, and the optimisation loops that let agents personalise interactions and demonstrably lift business outcomes. What we're looking for in you Significant experience shipping AI agents and LLM systems into production, with strong opinions on the modern toolkit - eval frameworks, agent orchestration, RAG pipelines, prompt engineering - and the tradeoffs between them. A track record of taking ambiguous problems from zero to one, raising the bar for the engineers around you, and shaping technical direction across teams. A strong general engineering foundation. We care more about your ability to design good systems than about any specific language or framework - you'll work across our stack as needed (Elixir on the backend, TypeScript on the frontend). Big picture thinking - you can make tradeoffs on technical work streams against business impact, and know when to ship something rough to learn from versus when to invest. Fantastic communication skills. You're able to articulate what you're working on and why to the team in a clear and structured way. You thrive in a collaborative environment. You believe in your own methods but keep an open mind, taking suggestions and feedback onboard as well. Bonus if you have experience in travel, flights, hotels or cars. Location We are based in Shoreditch, London and have a hybrid work-from-home policy and require everyone to come to our office on Tuesdays and Thursdays. Why Join Duffel? We're a growth-focused team that values open communication, diverse perspectives, and true ownership. We want you to feel empowered in your role, which is why every permanent employee becomes a company shareholder. Benefits Duffel Travel Allowance: We subsidise your wanderlust. Work From Anywhere (60 days): Your office, your rules. Sabbaticals: Long term loyalty, long term breaks. Flexible Bank Holidays: Swap holidays to suit your schedule. Level Up & Give Back Study Days: Get paid to learn. Volunteering Day: One day a year to save the world. Electric Car & Cycle Schemes: Eco friendly rides, tax free prices. The Essentials, Upgraded Family Leave (maternity, paternity and adoption): Big support for life's biggest moments, 26 weeks fully paid. Pensions & Loans: Future proofing and interest free commuting. Eye Tests: Keeping your vision and your style sharp. We are an equal opportunities employer. We believe that the key to our success is employing a diverse team, that's why recruitment decisions are only based on your experience and skills. We value your ability to problem solve and build amazing things so we welcome applications for everyone - regardless of age, sex, disability, sexual orientation, race, religion or belief.

Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.

Business Development Manager This established and expanding engineering consultancy is looking to appoint an experienced Business Development Manager to lead the growth of its Structural Engineering division. Due to continued growth, this is a new strategic role to increase market share, secure high-value structural engineering commissions and build long-term relationships with clients across the construction industry. If you have experience selling structural engineering, civil engineering or technical consultancy services and enjoy developing relationships, this could be the ideal opportunity. The Role You'll take ownership of business development across the Structural Engineering business, identifying new opportunities and creating sustainable growth within both existing and emerging markets. Working closely with the Directors and engineering teams, you'll develop relationships with developers, architects, project managers, contractors and consultants to secure structural engineering commissions across a diverse portfolio of projects, including commercial, residential, industrial, infrastructure and public sector developments. You'll lead the commercial aspects of major opportunities, from identifying projects and qualifying leads through to tender submissions, commercial negotiations and successful appointment. You will also be responsible for managing and developing a team of 3 sales executives, mentoring and helping them grow the business. About You We're looking for someone with a proven track record of sales and business development within the structural engineering consultancy sector or a closely related engineering consultancy environment. You'll be confident building relationships with senior decision makers and understand how structural engineering consultants engage with developers, architects, contractors and project teams throughout the construction lifecycle.You will need to have a strong understanding of the UK construction market and procurement routes along with excellent networking, presentation and relationship management skills. Package:£50-60,000 Basic, £10,000 OTE, Business and Travel Expenses, Company Pension JBRP1_UKTJ