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Entity: Technology Job Family Group: IT&S Group Job Description: bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI., • Prior experience in energy, logistics, or industrial domains is a plus but not required. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Position Summary At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled Backend Engineer to help us make this vision a reality. The ideal candidate will have a track record of shipping data products derived from complex sources, responsible for the process from conceptual data pipelines to production scale. We have a commitment to quality, so the person in this role will be able to use modern cloud tooling and techniques to deliver reliable data pipelines and continuously improve them. This role requires a passion for solving challenging problems aligned to exciting Artificial Intelligence and Machine Learning applications. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. Key Responsibilities • Build data pipelines using modern data engineering tools on Google Cloud: Python, Spark, SQL, BigQuery, Cloud Storage., • Ensure data pipelines meet the specific scientific needs of data consuming applications., • Responsible for high quality software implementations according to best practices, including automated test suites and documentation.., • Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them., • Participate in code reviews, continuously improving personal standards as well as the wider team and product., • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Minimum Requirements • 2+ years of data engineering experience with a Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience., • Cloud experience (e.g. Google Cloud preferred)., • Strong skills with industry experience in Python and SQL., • Unit testing experience (e.g. pytest)., • Knowledge of agile practices and able to perform in agile software development environments., • Strong experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements • Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience., • Bioinformatics expertise, familiarity with large scale bioinformatics datasets., • Experience using Nextflow pipelines., • Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval., • Familiarity with orchestration tooling (e.g. Airflow or Google Workflows)., • Experience with AI/ML powered applications., • Experience with Docker or containerized applications. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Job Description Nutmeg is a J.P. Morgan company offering award-winning investments, products and digital wealth management services to over 250,000 investors in the UK. We built the business from scratch, with constant innovation a core part of our ethos since the beginning. We aim to provide clients with the best digital investing experience, ensuring digital security and customer satisfaction – meaning you'll have the opportunity to make a real difference. As a DevOps Engineer in the Cloud Infrastructure team, you will be responsible for looking after the heart of what makes Nutmeg the company it is. Operating within the Platform function alongside Security, Architecture and Developer Experience teams, you'll be heavily involved with all our technical infrastructure, from designing, through build and the ongoing operation of a platform running in Kubernetes on AWS. Job responsibilities: • Build and maintain a Kubernetes on AWS platform used by 150+ engineers, • Advocate good practices and principals throughout the engineering function, • Standardise deployment and usage of cloud resources to ease technology adoption and comply with security controls, • 5+ years of professional experience, • Proven track record of building and managing continual automation / deployment / delivery environments, • Proficiency running infrastructure on cloud platforms, such as AWS and GCP, appreciation for their failure modes, and a good understanding of network concepts and fundamentals, • Expertise in managing and maintaining Kubernetes clusters in production, • Strong coding skills (Go/Python preferred), • Excellent knowledge on observability tooling and best practices, • Systems and database experience, with an understanding of the challenges involved in designing and building distributed/microservice environments, • Knowledge or experience of scalable technologies such as Kafka, • A passion for learning new things and experimenting with new technologies #ICBCareers #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on Cloud Engineering. This team is at the heart of a cutting-edge cloud-native AWS infrastructure that powers the Chase UK bank that is trusted by over 2 million customers. You will be exposed to a wide spectrum of technologies such as Kubernetes clusters, connectivity, databases, kafka clusters, as well as numerous opportunities to create automations to eliminate toil and improve developer experience. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move among squads within the tribe. Job responsibilities • Maintain and improve our AWS cloud infrastructure to ensure the bank's 24/7 operation with a focus on stability, performance, security and compliance, • Maintain and improve stability, security and performance of connectivity for our customers, in-between AWS accounts, as well as in-between Chase and third parties, • Maintain, design and create automation scripts and tooling using a variety of programming languages (Bash/Python/Go) as necessary, • Maintain and build a cloud platform for application developers and provide support to improve their SDLC and developer experience, • Manage and interact with vendors and other areas of the business to plan improvements and coordinate project efforts, • Experience managing public cloud infrastructure using infra-as-code technologies (we use Terraform with AWS), • Strong knowledge and operating experience in at least one CDN provider (such as Akamai/CloudFlare), • Familiarity with network monitoring and diagnostic tools, • Optimize network performance through continuous analysis and improvement of connectivity patterns, • Strong understanding of network protocols, such as TCP/IP, DNS, DHCP, ICMP and VPN, • Experience with configuring and managing reverse proxies (such as Traefik, NGINX, HAProxy, etc), • Good knowledge of Kubernetes clusters' operations (we use EKS), • Good knowledge of programming using a modern language (Java/Python/Go), • Excellent understanding of DevOps principles and SDLC best practices, • Excellent communication and collaboration skills, • Familiar with software engineering security best practices in a cloud environment, • Experience developing unit, integration and end-to-end software tests #ICBCareers #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team The Cybersecurity & Technology Controls group at JPMorganChase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

Job Description As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platform team, you will play a pivotal role in promoting the Test Engineering Program. This strategic initiative focuses on building robust, intelligent validation frameworks and infrastructure that power our ML and data products. You will architect and develop tools, services, and automation that elevate platform assurance across large-scale distributed systems, collaborating with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. Job responsibilities • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure., • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices., • Contribute to the platform's CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage., • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack., • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components., • Build reusable components that support scalability, modularity, and self-service quality tooling., • Mentor junior engineers and influence technical standards across the Test Engineering Program. Required qualifications, capabilities, and skills • Formal training or certification on Computer Science concepts and proficient advanced experience., • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering., • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries., • Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools., • Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch)., • Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure., • Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred qualifications, capabilities and skills • Exposure to machine learning workflows, model lifecycle management, or data engineering platforms., • Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks)., • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development., • Knowledge of platform security, monitoring, and resilient architecture patterns. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Rates Marking and Pricing team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. This is a great opportunity to work closely with the trading desk and develop business critical applications that directly enhance the desk's revenue-generating capabilities. Job responsibilities • Works closely with the Linear Rates trading desk to develop and maintain their business critical marking and pricing toolset., • Provides direct support for applications in response to trading desk requests., • Migrates legacy tooling to the current platform in a continuous cycle of uplift., • Produces secure, high-quality production code and ensures algorithms operate seamlessly with existing systems., • Builds relationships across Quantitative Research and the wider Technology team to deliver the best solutions., • Participates in software engineering communities and events, exploring and promoting new and emerging technologies., • Proficient in Python programming, with front to back experience of building user interfaces and server back-ends, • Hands-on practical experience in system design, application development, testing, and operational stability, • Familiarity with interest rate derivative products and yield curve construction, • Ability and confidence to interact with trading desk, quant research and technology stakeholders to develop strategic solutions, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Overall knowledge of the Software Development Life Cycle, • Familiarity with modern front-end technologies including React/TypeScript and Python/ENAML, • Experience working in a financial services or trading environment, • Understanding of interest rate yield curves and their construction J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities • Build robust Data Science capabilities which can be scaled across multiple business use cases, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems, • Research and analyse data sets using a variety of statistical and machine learning techniques, • Communicate AI capabilities and results to both technical and non-technical audiences, • Document approaches taken, techniques used and processes followed to comply with industry regulation, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions., • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.), • Specialism or well-researched interest in NLP, • Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc., • Experience monitoring, maintaining, enhancing existing models over an extended time period, • Extensive experience with pytorch and related data science python libraries (e.g. pandas), • Experience of containerising applications or models for deployment (Docker), • Experience with one of the major public cloud providers (Azure, AWS, GCP), • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray), • Experience of big data technologies, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints, • Experience with container orchestration tools (e.g. Kubernetes, Helm), • Knowledge of open source datasets and benchmarks in NLP, • Hands-on experience in implementing distributed/multi-threaded/scalable applications J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Data Engineer - Executive Director on the Core Platform team within Wholesale Credit Risk QR (Quantitative Research), you will spearhead the development and execution of advanced data architectures and strategies supporting the Wholesale Credit Risk domain, create systemic solutions to address data governance mandates and standardize data onboarding pipelines. You must possess technical expertise in distributed systems, big-data technologies and cloud-enabled solutions. Job Responsibilities Strategic Data Architecture Development • Design and implement on-premise and cloud-enabled data architectures for the ingestion, processing and storage of credit risk data, • Oversee the integration of structured and unstructured data sources, enabling predictive modeling and scenario analysis., • Ensure data systems meet regulatory requirements such as Basel III, IFRS9 and CCAR, while maintaining high standards of security and governance, • Establish robust data governance frameworks, focusing on quality, consistency and operational excellence, • Partner with senior risk and business leaders to identify opportunities for leveraging data to inform decision-making, • Extensive experience in data engineering, architecture or analytics roles with a strong focus on banking and financial services, • Proficiency in distributed computing technologies (eg Apache Spark, Databricks), cloud platforms (AWS, Azure, GCP) and data-lake architectures, • Hands-on experience with tools like Hadoop, Delta Lake, Kubernetes, Snowflake and Kafka, • Strong programming skills in Python, Java and SQL with expertise in data pipeline development and ETL processes, • Proven ability to lead cross-functional teams and manage complex data initiatives, • Strong communication skills with the ability to bridge technical and business audiences J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Vulnerability Engineer London - 2 days a week on site £90K + great benefits An impressive global media company is looking to hire a Vulnerability Engineer to take ownership of vulnerability remediation across a cloud and on-prem environment. This business is going through a big technology transformation programme that is estimated to take 3 -5 years. The successful Vulnerability Engineer will drive and automate the vulnerability management programme across this business. This is a great opportunity for a passionate Vulnerability Engineer to build out a remediation programme and collaborate with a variety of stakeholders at all levels of this international superbrand Vulnerability Engineer Duties and Responsibilities The successful Vulnerability Engineer will: • Develop, implement, and maintain an automated and scalable vulnerability management program using Tenable and related tools., • Create and enforce vulnerability management policies, scan configurations, and best practices, aligned to frameworks such as NIST or ISO 27001., • Integrate vulnerability scanning and remediation into CI/CD pipelines and development workflows to ensure security at speed; this business is in a transformative stage!, • Automate data collection, triage, reporting, and ticketing processes using Scripting languages such as Python, Bash, PowerShell, or Go., • Collaborate with IT, DevOps, and engineering teams to remediate identified vulnerabilities quickly and effectively., • Scope and coordinate penetration testing activities; track remediation and risk acceptance outcomes. The ideal Vulnerability Engineer will have: • A technical degree in Information Systems or similar, • Extensive experience with Vulnerability Management across both cloud and On-Prem environments, • Hands on experience with Tenable and integration of VM tooling into CI/CD pipelines, • Strong Scripting skills using languages such as Python, Bash, PowerShell, or Go., • Familiarity with APIs, automation workflows, and integrating with platforms like Jira, ServiceNow, or Slack., • Ability to scope penetration tests and manage findings through to remediation., • Strong understanding of security frameworks and standards such as ISO 27001, NIST, and CIS.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking “Markets Portfolio Management group”, you serve as an experienced member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. The Markets Portfolio Management (MPM) group has been created to actively manage the risks, costs and associated size constraints of JPMC retained markets portfolio in an active and connected manner. It supports the strategic agenda of our Markets franchise through a coordinated approach to pricing and management of financial resources. As a member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Job responsibilities • As a Senior member of the team be willing to be business facing and handle time critical demands of Front-office/trading users., • Mentor and supervise junior resources in different regions., • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture, • Contributes to software engineering communities of practice and events that explore new and emerging technologies, • Adds to team culture of diversity, equity, inclusion, and respect, • Engage with new and emerging Platform as a Service technologies to deliver first class tooling to MPM business users, • Hands-on practical experience in system design, application development, testing, and operational stability with a minimum of 5+ years of applied experience., • Proficient in coding in one or more languages (preferably Python and Java is a plus), • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Hands on experience in SQL and databases and data warehouses, • Proficient in all aspects of the Software Development Life Cycle along with advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Interest in developing industry trends, especially around data management platforms, • Prior experience in leveraging AWS and data warehouses is a plus., • Previous experience supporting at least one Capital Markets Line of Business, • Strong Python experience, especially in the context of large trade or risk management platforms, • Previous experience using AWS/S3 or other services, • Familiarity with Snowflake/ Data-bricks or other PAAS offerings J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

The Senior Product Engineer will be at the heart of this, working alongside the Data Director and the Innovation Labs Data Scientist. Youll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agentsbringing Serve Legals data and insights t

We're looking for a passionate Data Engineer who is experienced with AI tooling - including building Gen AI agents in-product - to join their growing Data Engineering ream. Data Engineer - Award-Winning AI SaaS platform We're partnered with a pioneering SaaS company that's transforming

Job Description At Chase UK, we're redefining digital banking by harnessing cutting-edge technology to deliver seamless, intuitive experiences for our customers. Our engineering team operates with a start-up mindset, empowered to shape the future of banking through scalable, reliable, and innovative solutions. If you're passionate about operationalizing advanced machine learning—including large language models (LLMs) and generative AI—this is the place for you. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and software engineers to build, deploy, and maintain sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable. Job Responsibilities: • Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale., • Collaborate with data engineers, scientists and product owners to operationalize workflows for reliable, seamless model deployment and monitoring., • Implement monitoring, logging, and alerting for AI services, ensuring performance, security, and compliance in production environments., • Write clean, maintainable, and efficient Python code for ML tooling, orchestration, and infrastructure., • Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation., • Work with containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable and repeatable deployments of AI services., • Apply robust software engineering best practices—version control, CI/CD, code reviews, testing, and automation—to all aspects of the ML lifecycle., • Troubleshoot and optimize ML workflows, from initial development through deployment and production support., • Engage in cross-functional squads, participating in technical discussions, design reviews, and continuous improvement initiatives., • Strong software engineering background, with deep proficiency in Python (and optionally, Go or Java)., • Demonstrated experience deploying and maintaining LLMs (e.g., GPT's, Llama) in production environments., • Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI)., • Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure)., • Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment., • Practical experience with infrastructure-as-code (Terraform, CloudFormation, etc.)., • Understanding of concurrency, distributed systems, and scalable API development for ML-powered applications., • Experience with version control (Git) and CI/CD pipelines., • Strong problem-solving skills, attention to detail, and a collaborative, growth-focused mindset., • Exposure to Retrieval-Augmented Generation (RAG) pipelines, vector databases (e.g., Pinecone, Weaviate, Milvus), and knowledge bases, with familiarity in integrating them with LLMs., • Experience with advanced model monitoring, observability, and governance of LLMs and generative AI systems., • Experience with data engineering or analytics platforms., • Understanding of AI safety, security, and compliance best practices in production., • Enthusiasm for learning and adopting the latest MLOps and AI technologies. #ICB #ICBEngineering About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description: About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people's lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI. We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Role: Senior Software Engineer. Strong hands-on IAM engineer background with broad expertise across the IAM domain, including tooling, products, protocols, taxonomy, identity management, authentication, authorization and identity federation.

The Senior Product Engineer will be at the heart of this, working alongside the Data Director and the Innovation Labs Data Scientist. Youll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agentsbringing Serve Legals data and insights t

DevOps Engineer - Contract Opportunity We're partnering with a forward-thinking digital business looking for a DevOps Engineer to support the evolution of their cloud infrastructure and CI/CD capabilities. This is a 4-month contract with a clear scope: help drive platform automation, improve scalability, and ensure reliability across cloud environments using best-in-class tooling. You'll be embedded within a cross-functional engineering team, contributing to the design, implementation, and optimisation of modern DevOps practices. The successful candidate will bring hands-on expertise across Terraform, Kubernetes, and Docker, with experience working in Azure environments. Exposure to Azure DevOps is also essential, as it forms part of their toolchain. Key Responsibilities * Build and maintain scalable, secure, and automated infrastructure using Infrastructure-as-Code * Lead the optimisation and maintenance of CI/CD pipelines using Azure DevOps and other tooling * Collaborate with engineering teams to deploy containerised applications using Kubernetes and Docker * Support migration and integration across Azure and internal platforms * Monitor infrastructure performance and reliability, implementing automation and alerting as needed * Drive cost optimisation and efficiency across cloud environments * Enforce best practices around cloud governance, platform resilience, and DevOps standards Skills & Experience Required * Strong experience as a DevOps Engineer or Platform Engineer in complex environments * Hands-on with Terraform, Kubernetes, and Docker * Proven experience with CI/CD pipelines, particularly using Azure DevOps * Strong cloud infrastructure knowledge across Azure * Skilled in automating deployment workflows and enabling infrastructure-as-code * Comfortable troubleshooting infrastructure issues across large-scale systems * Experience supporting development teams and improving engineering velocity Contract Details * Length: 4 months (initial) * Day Rate: £480 a day * IR35: Inside IR35 * Location: Remote with potential for occasional in-person collaboration

Overview: We're looking for a software engineer to help build and optimize the infrastructure behind large-scale AI model training and deployment. This role involves working across the full ML lifecycle - from data processing and training pipelines to efficient inference in production environments. What You'll Do: * Develop scalable, distributed training and evaluation pipelines * Optimize model performance and system efficiency across different compute environments * Collaborate with ML teams to integrate models into production systems * Build tooling for deployment, monitoring, and continuous improvement of AI models What We're Looking For: * Strong programming skills (Python, C++, or similar) * Experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX) * Familiarity with cloud infrastructure and distributed systems * Solid understanding of performance optimization and system design

Senior Manufacturing Engineer West London | Competitive Salary + Bonus + Ex. Bens (incl. Option for 9 day fortnight) | Permanent About the Role: As a Senior Manufacturing Engineer, you will play a key role in supporting the Manager and supporting less experienced team members, while ensuring new product designs are efficient, standardised, and manufacturable. You will bridge Engineering and Production, supporting prototypes, introducing new products, and optimising processes. The role drives continuous improvement, reduces waste, and maintains high-quality production standards. You will also contribute to tooling, layouts, and manufacturing plans to meet cost, delivery, and performance targets. What’s in it for you? Flexible Working – Hybrid options, 9-day fortnight, flexible hours, and TOIL. Career Development – leadership opportunities within 2 years. Comprehensive Benefits – Bonus, pension, life assurance, annual bonus, 25 days holiday (with buy/sell), plus employee discounts, 9 day-fortnight option. Supportive Culture – Focus on wellbeing, open communication, and recognition of success. What you’ll be doing • Apply Design for Manufacture (DFM) principles to ensure new designs are efficient, standardised, and testable., • Collaborate with Engineering, Production, and Project Teams on design and manufacturing reviews., • Support prototype builds, resolving issues before full-scale production., • Develop manufacturing plans, covering layouts, process maps, tooling, and workstation setup., • Lead the introduction of new products, ensuring quality, cost, and delivery targets are achieved., • Design and implement jigs, fixtures, tooling, and production line layouts to improve efficiency., • Conduct time and motion studies, line balancing, and value stream mapping to optimise workflows., • Create and maintain routings and Bills of Materials (BOMs) within the ERP system., • Analyse non-conformances, identify root causes, and implement corrective actions., • Drive continuous improvement to reduce waste, scrap, and non-value-added activities. What we’re looking for Degree in Industrial, Mechanical, or related Engineering discipline, or equivalent manufacturing experience. Competence in 3D CAD (Creo (ideally), SolidWorks) and 2D CAD design. Experience with ERP systems, including creating routings and Bill of Materials. Knowledge of Lean, Six Sigma (Green Belt desirable), and continuous improvement methodologies. Strong analytical skills and ability to interpret engineering drawings, schematics, and technical documentation. Security clearance required (non-UK nationals eligible with 5 years’ residency and no work restrictions). How to apply If this sounds like the right role for you, we’d love to hear from you. Please apply via LinkedIn.

Network Automation Engineer CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities Essential Experience: (must -have skills/qualifications) • Solid experience of working in a high-pressure, large-scale, global environment., • Solid understanding of Web Security - Web Application Firewalls & API Security Gateways, • Experience doing development & tooling for Network & Security Engineering Teams, • Ability to communicate at all levels., • Solid understanding of distributed multi-tier architectures., • Solid understanding of change control procedures and incident reporting methodologies., • Automating infrastructure provisioning - IaaS & Automating application delivery - PaaS, • Successful, proven experience (minimum 3 years) in similar function within a large multi-functional environment., • Very good working knowledge of financial services industry., • Experienced in the technical implementation of key business applications through Test and into Live Service., • Significant experience of different delivery methodologies (waterfall, agile/SaFE/LeSS/kanban/xp) Essential Technical Experience: • Good understanding of Firewalls, • Good experience with automation around Networking & Security devices, • Minimum 5 years' experience in a DevOps/Automation role, • Good experience with Automation Frameworks specifically Ginger, • Solid Development Skills (Bash, Python), • Solid Development Skills in developing and consuming RESTful services., • Understanding the build life cycle of an application through to deployment., • Solid understanding of general cloud based services, IaaS, PaaS, SaaS., • Good Understanding of Agile deliveries Competencies Required: • Excellent communication skills - both verbal and written, • Team Work - Shares knowledge, information and expertise, collaborates with others to achieve a common purpose. Ability to maintain composure in a high pressure work environment, • Analysis and Solutions Seeking - Has a clear logical approach to problem identification and analysis always minimising risk. Strong problem solver, • Planning and Organisation - Has a structured approach to work, self-organised and adaptable to varying demands in workload., • Client focus - Maintains contact with clients, keeping them informed and using feedback to improve quality of service., • Ideas Generation - Takes initiative to seek and develop solutions or enhancements., • Professionalism - Has discipline, good time management and takes responsibility for decisions., • Commercialism - Has general awareness about organisational goals and objectives. Rewards and Benefits In return you will be awarded with a competitive salary, excellent benefits and the opportunity to develop your career and skills within a growing company. Equal Opportunities: CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. As a Disability Confident employer, we will. • Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on 020 7602 6000 to discuss individual requirements further).

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: • Own and lead the enterprise data strategy – across infrastructure, analytics, and AI/ML., • Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists., • Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation., • Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight., • Support responsible AI adoption – working alongside an AI Engineer to build ethical and scalable models., • Define governance frameworks – from access and privacy to data quality, retention, and compliance. What we’re looking for: • Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments., • Technical depth across data engineering, analytics, or data science., • Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI., • Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps., • Comfortable working across finance, risk, and commercial functions., • Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note - this role cannot offer VISA sponsorship.

Senior Platform Engineer Manchester or London (Hybrid) Up to £72,000 + Bonus – Permanent 🚀 Join a national security programme at the heart of the UK’s critical infrastructure. We’re growing our Platform Engineering capability to deliver cutting-edge solutions that make a real difference. You’ll be part of a collaborative consulting-style environment, working alongside specialists and generalists, designing and building systems that keep the country safe. What you’ll be doing • Designing and delivering production-grade and proof-of-concept systems for high-impact projects, • Building modern, secure, and scalable solutions using the latest tooling and engineering practices, • Embedding quality through automated testing, CI/CD pipelines and code analysis tools, • Working in agile, multidisciplinary teams to solve complex client challenges, • Supporting a culture of innovation and knowledge-sharing, with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required • Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python), • Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket), • Proven track record delivering in agile environments (Scrum, Kanban, Lean), • Understanding of software design patterns and engineering best practices, • Current SC clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): • Cloud platforms (AWS, Azure), • Containerisation (Docker, Kubernetes), • Database systems (SQL, NoSQL, Graph), • Configuration & deployment tools (Ansible), • Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package • Up to £72,000 base salary, • Bonus scheme, • Hybrid working – London or Manchester hub, • Private healthcare & pension, • Career development pathways in a consulting-style environment, • Opportunities to contribute to community tech initiatives 💡 To hear more about the role, get in touch with me directly.

Shape the design system behind a unicorn AI-native SaaS platform, scaling globally at speed. Why This Role? Stax is partnering with a unicorn AI-native SaaS scale-up that’s transforming how organisations use AI. Now they’re building a London engineering hub. Join as a UK founding engineer - hybrid working, high impact, and the chance to shape a category-defining platform from day one. The Opportunity This is a systems-level role at the intersection of design and engineering. You’ll be at the heart of a platform that’s changing how organisations use AI for customer support and product operations. In just four years, the team has: • Pushed browser limits with D3-powered visualisations and real-time dashboards, • Open-sourced client-side analytics on DuckDB, bringing OLAP to the edge, • Built AI-native UIs that feel fast, intelligent, and fun, • Scaled a themeable design system adopted across multiple products and platforms, • Introduced micro-frontends that power independent, high-velocity teams—and let customers embed their own modules directly in the product What You’ll Do • Evolve the design system: tokens, theming, accessibility, visual language, • Build React + Web Component libraries for core + embedded apps, • Advance tooling: Storybook, Chromatic, Figma plugins, • Set standards and governance across design + engineering, • Deliver performant layouts and visualisations at scale, • Mentor peers on accessibility and performance-first development Tech Ecosystem You’ll Shape Design Tokens · Figma API · Storybook · React · Web Components · TypeScript · Tailwind CSS · Vite · NextJS · Jest · Cypress · Playwright What You Bring • 8+ years in large-scale web apps, 2+ in design-system architecture, • Strong perspective on tokens, theming, multi-brand support, • Mastery of React + TypeScript, with library publishing experience, • Accessibility leadership (WCAG, ARIA, keyboard nav, colour contrast), • Fluency in CSS methodologies and testing frameworks, • Excellent communication skills to align design, product, and engineering, • Bonus points for OSS contributions, Figma plugins, or micro-frontend orchestration Culture & Impact • Speed with craftsmanship: fast feedback, continuous delivery, peer reviews, • Performance-first mindset: Core Web Vitals as product metrics, • Inclusive and global: teams across the US, Europe, and India, • Autonomy with accountability: design, guide, measure, iterate, • London hub: hybrid model, build the team and culture from the ground up Why join? Your design system will power products used by some of the world’s most ambitious teams. Join at a moment of hyper-growth and play a defining role in one of the most exciting SaaS platforms in the world. Stax welcomes applications from all backgrounds. Our client unfortunately can't offer visa sponsorship.

Manufacturing Engineer NW London Are you a hands-on Manufacturing Engineer with a passion for process improvement, NPI, and driving innovation in electronics or device assembly? Join a growing business that blends cutting-edge product development with high-mix, low-to-medium volume manufacturing. You'll work alongside cross-functional teams to optimise processes, support new product launches, and lead continuous improvement initiatives that truly make an impact. You won’t be stuck firefighting here. This is a real opportunity to shape how things are made — from new product launches to smart process improvements in a high-mix, low-to-medium volume manufacturing environment. The role in 60 seconds: You’ll take ownership of manufacturing process design and improvement — especially around NPI, tooling and fixtures, Lean/Six Sigma projects, and structured problem-solving. You’ll work with passionate teams across R&D, Quality, Production and Supply Chain — and see your ideas turned into real-world improvements. Why this might just be your next big move: • You’ll be more than a cog in the wheel — your voice matters here, • You’ll play a key role in bringing new tech from prototype to production, • You’ll leave things better than you found them — and be recognised for it, • You’ll collaborate with sharp, cross-functional teams in a growing, tech-led business, • You’ll be hands-on — not desk-bound What we’re looking for: • 4+ years in manufacturing engineering operating as a Manufacturing Engineer (electronics/device assembly), • Solid NPI and APQP background, • CAD skills (SolidWorks/AutoCAD) for tooling/fixture design, • Comfortable with SMT, hand soldering, test & IPC standards, • Strong problem-solving toolkit (5 Whys, DMAIC, 8D etc.), • Someone who spots waste and sees opportunity Bonus points for: • Lean Six Sigma certification (Green Belt or above), • Familiarity with ISO 9001, 13485, or IATF 16949, • ERP/MES or manufacturing analytics experience If this role sounds like you drop me a message or apply now to learn more

Full Stack AI Engineer Logistics: • Remote, • E-commerce, • £450 a day, • Fully Remote Re-architect systems to support agent-based workflows * Build orchestration logic, services, and LLM integrations You have: * Strong Python skills and backend system design experience * Experience with agentic systems, LLM tools (e.g. OpenAI, LangChain), and vector DBs * Bonus: e-commerce, marketing tech, or creative tooling exposure • Full stack Background, • Agentic AI Engineer

Data Science & GenAI Tech Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‑time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‑quality replies for human agents - while also turning messy, multi‑channel feedback into trustworthy structured insights, anomaly detection, and novelty discovery. As the Tech Lead, you’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform. What you’ll actually do 50% Build — design & ship • Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls., • Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting., • Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift., • Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links., • Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed., • Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks., • Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning., • Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams)., • Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics.What makes you a great fit, • Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️, • AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar)., • 7–10 years building production ML/back‑end systems; 2+ years leading while coding., • Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams)., • Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines., • LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift)., • Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control., • Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points • DevOps wizardry; GPU/accelerator experience., • Multimodal pipelines (text + voice + screenshots)., • Prior experience in contact center/CX analytics or novelty/anomaly systems., • Founder or founding engineer experience

Important: All applicants must be able to obtain Security Clearance Working: This role offers some hybrid working and flexible working opportunities The Senior Manufacturing Engineer will be working collaboratively with Engineering, Production and other Project Team members, to review new product designs, advise on Design for Manufacture principles & support Production to meet their daily targets. The Senior Manufacturing Engineer role focuses on introducing new products into manufacturing by ensuring designs are standardised, manufacturable, and efficient. It involves developing production plans, designing layouts and tooling, supporting prototype builds, and leading continuous improvement initiatives. The position also supports daily production to achieve quality, cost, and delivery targets while maintaining safety and operational excellence. Key Responsibilities & Duties • Ensure the designs released to production are standardised, manufacturable and testable. This will involve attending Project Meetings, Design Reviews and DFM Reviews., • Support prototype builds to highlight and resolve problems prior to full scale production., • Submit Manufacturing plans, detailing layouts, process maps, cycle times, resourcing levels, tooling, capital equipment, facility upgrades and workstation setup., • Lead the New Product Introduction Phase of the Design Process, ensuring that product quality, project timescales, cost targets, configuration and traceability requirements are met. This will also include training of Operations staff., • Design and implement new production lines and facility layouts. This will include submissions for Capital Expenditure., • Develop, design and implement Production Jigs, Fixtures and Tooling, to improve materials handling, standardisation and manufacturing efficiency., • Calculate Work cell and production line balancing, by conducting Time & Motion studies and Value Stream Mapping., • Create Routings on the Company ERP System, detailing process steps and standard times., • Conduct root cause analysis of Non- Conformances and implement corrective actions., • Manage equipment maintenance scheduling, to minimise production stoppages., • Estimate costs, production times and staffing requirements for new designs. Follow up by monitoring production times to ensure published Product Costs are being achieved. Also investigate any anomalies that are highlighted., • Developing and maintain work instructions, to ensure consistent standards are followed., • Actively target scrap, rework and non-value-added activities. Achieving this by working with cross function teams, utilising Continuous Improvement methodologies, • Work with Procurement and Production Support to improve material flow and reduce inventory., • Investigate new techniques and equipment to ensure the Company's manufacturing philosophy incorporates current best practice., • Support production, to assist achieving on-time delivery of customer orders. This will include attending production daily meetings, assisting on resolving any issues that may arise and minimising disruption to production., • Follow Health and Safety procedures and address any Risks, in order to maintain a safe working environment. Skills, Qualification and Experience • Degree in Industrial or Mechanical Engineering, or other Engineering discipline with significant manufacturing experience, • Continuous improvement techniques such as LEAN, Six-Sigma and TQM, • Work measurement and standardisation, • Competency in ERP systems, including development of routings and Bill of Material structures, • Familiarity with 3D CAD drawing packages and competency in 2D CAD design., • Strong data analysis abilities., • Understanding of Engineering Change Control processes, • Interpreting engineering drawings, schematics, and other documentation, • Experience managing small teams (desirable) Company overview: • Want to work for a successful business, who develop advanced specialist systems to deliver warfighting edge in the modern maritime and underwater battlespace?, • Optional 9 day fortnight, • TOIL, • Flexible working hours, • 1pm finish on a Friday, • Annual bonus, • Casual dress, • 25 days holiday, • Christmas shut down., • Option to buy or sell holiday., • Option to purchase private health care, dental, critical illness etc via salary sacrifice., • Reward hub - discounts at over 200 online stores, • 4 x annual salary life cover

Lead Product Engineer £75,000 per annum Hybrid | Central London (2–3 days per week in-office) Permanent | Full-Time We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career. Key Responsibilities • Lead the development of innovative digital products from concept through to production, • Design and build scalable, containerised software solutions that incorporate data science components, • Make architectural decisions around tooling, frameworks, and development approaches, • Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred), • Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders, • Mentor and support junior engineers, helping to grow technical capability within the team, • Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery, • Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience • 5–7 years of professional experience across software engineering, DevOps, or applied data science, • Strong programming skills in Python and familiarity with JavaScript/TypeScript, • Working knowledge of React (not a frontend role, but an understanding of the stack is important), • Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure), • Exposure to Jupyter notebooks, and understanding of how machine learning models are developed and deployed, • Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education • Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI), • Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering, • Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership & Soft Skills • Strong communication and collaboration skills, • Experience mentoring junior team members, • Willingness to step into a leadership role and grow into the function, • Pragmatic decision-maker who can weigh trade-offs and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solution, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. As a Senior Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: • Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems, • Build frameworks and supporting tooling for data ingestion from a complex variety of sources, • Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology, • Model their data for increased visibility and performance, • You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves., • You will work in short sprints to deliver working software, • You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation You can read more about what we do and how we think here: Skills you’ll need: • Demonstrated experience as a Senior Data Engineer in complex enterprise environments, • Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala, • Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake, • Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical, • A nuanced understanding of code quality, maintainability and practices like Test Driven Development, • Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD, • Understanding of Cloud platforms, DevOps, GitOps, Containers What will you experience as a culture at Sahaj? At Sahaj, people's collective stands for a shared purpose where everyone owns the dreams, ideas, ideologies, successes, and failures of the organisation - a synergy that is rooted in the ethos of honesty, respect, trust, and equitability. At Sahaj you will experience:- • Creativity, • Ownership, • Curiosity, • Craftsmanship, • A culture of trust, respect and transparency, • Opportunity to collaborate with some of the finest minds in the industry, • Work across multiple domains What are the benefits of being at Sahaj? • Unlimited annual leave, • Life Insurance & Private Health insurance paid by Sahaj, • Stock options, • No hierarchy, • Open Salaries

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign ‘Best Place to work’ for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, , Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling., • Supporting Families – Enhanced parental leave, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. WHAT YOU BRING TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: • Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation., • Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines., • Champion data quality and integrity, troubleshooting issues and ensuring our outputs remain reliable and trusted., • Collaborate with senior Apollo leads to align our data products with business and client priorities., • Use and contribute to our Python tooling, whether through writing scripts, enhancing existing tools, or defining requirements and design improvements., • Partner with analytics, data science and visualisation teams, ensuring datasets are meaningful, intuitive, and optimised for their use cases., • Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills • SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards., • DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling., • Python – some experience; able to use and adapt scripts and tooling effectively, with an understanding of core syntax and concepts., • Git – intermediate; solid grasp of core workflows and version control best practices in a collaborative engineering environment., • Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills • Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift)., • Familiarity with data pipelining and orchestration systems (e.g. Airflow)., • Understanding of modern analytics architectures and data visualisation tools (we use Preset.io / Apache Superset)., • Exposure to CI/CD pipelines (GitLab CI preferred)., • Experience with advertising or media data is a plus.

Software Engineer / Senior Software Engineer North Yorkshire Full-time (Salary details available on request – aligned to experience and level) I'm working with a leading engineering business in the subsea technology space to find an experienced Software Engineer or Senior Software Engineer to join their growing team in Kirkbymoorside, North Yorkshire. This is a fantastic opportunity to work on innovative ROV systems and tooling used in some of the world’s most challenging underwater environments. Whether you’re early in your software career and ready to grow, or you’re a seasoned engineer looking to step into a lead role, this company offers the tools, team, and support to help you thrive. Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this role. The Opportunity This is a hands-on, collaborative role where you’ll contribute to the full software development lifecycle—from concept and design through to testing, documentation, and delivery. Senior candidates will also take the lead on planning, technical direction, and mentoring. You’ll work on systems used in real-world subsea operations, supporting projects that demand both creativity and technical rigour. What You’ll Be Doing • Developing software for remotely operated vehicles (ROVs) and subsea tooling, • Writing and reviewing technical specifications and documentation, • Collaborating with mechanical, electrical, and production teams to ensure smooth integration, • Supporting new product development and customer training, • Leading projects and supervising engineers (Senior role), • Taking part in continuous improvement and innovation initiatives What They’re Looking For You’ll need to bring: • A degree in Software Engineering (or related discipline), or equivalent hands-on experience, • Strong programming skills in C, C++ and C#, • Experience with real-time, multi-threaded software development, • A proactive, team-oriented mindset, • 3+ years’ experience in an engineering environment for the Software Engineer role, • 10+ years’ experience and technical leadership for the Senior Software Engineer role Bonus points for experience with: • GUI/HMI systems, LabView, WPF MVVM, • Operating systems like QNX and Windows, • Visual Studio, Eclipse, MPLAB, or similar, • Robotic control systems or microcontroller programming, • Subsea or offshore engineering projects, • Chartered Engineer status (Senior level) What’s on Offer • Location: North Yorkshire (onsite 4+ days/week; potential for 1 WFH day depending on operational needs), • Hours: 37 hours/week (Mon–Thu 8:30–16:30, Fri 8:30–16:00), • Flexibility: Flexi-time and 4-day working week option (salary pro-rata), • Holidays: 25 days annual leave + 8 bank holidays, • Pension: 5% employer contribution If this sounds like the type of challenge you’re looking for, I’d love to hear from you. Whether you’re actively looking or just curious, feel free to get in touch for a confidential conversation.

Develop manufacturing plans, covering layouts, process maps, tooling, and workstation setup. Degree in Industrial, Mechanical, or related Engineering discipline, or equivalent manufacturing experience. As a Senior Manufacturing Engineer, you will play a key role in supporting the Manager and support

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A high-performing and technology-led systematic trading firm is searching for a DevOps Engineer with FPGA expertise to join their expanding London engineering hub. FPGA DevOps Engineer – Leading Systematic Trading Firm | Up to £300k TC. Develop and enhance DevOps tooling to accelerate the build a

As a software engineer on the DAML Application Runtime team, you have the unique opportunity to build an ecosystem of tools that enable an exciting new class of smart contract, distributed ledger applications. The DAML Application Runtime team is responsible for all software and tooling used in the

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We are working with a large, established hedge fund that is currently looking for an experienced engineer to join a small, new commodities-focused engineering team in London. Develop and maintain Python-based tooling and systems for the commodities engineering team. Engineering, Information Technolo

Social network you want to login/join with:.Linux System Engineer - QA, Tooling, Automation, London.Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.Our platform, Ubuntu, is very widely used in breakthrough enterprise initi

The Senior Data Integration Engineer bridges the gap between data processors, consumers, and Data Platform teams. Databricks), Self-Service tools, Data Lineage, and Quality Tooling) with the Data Platform and other systems. Collaborating with data, technology, and business stakeholders, the role pro

Job Description Tooling Engineer - Sittingbourne £38,000-£46,000 | Depending on experience 22 days holiday + BH | Bonuses | Employee Assistance Program A new and exciting opportunity has arisen for an Tooling Engineer to join a UK known drain manufacturer in the Dartford area! With no day eve

Job Description Tooling Engineer - Sittingbourne £38,000-£46,000 | Depending on experience 22 days holiday + BH | Bonuses | Employee Assistance Program A new and exciting opportunity has arisen for an Tooling Engineer to join a UK known drain manufacturer in the Dartford area! With no day eve

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As you'll be the first Security Engineer, you'll be collaborating heavily with the Infrastructure team as well to help us secure our infrastructure, CI/CD, and our internal tooling. You'll spot potential vulnerabilities before they reach production, coach engineers on secure coding practices, and he

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Our aim in the Developer Tools team is to build developer tooling that can help our users be successful in their work with Neo4j. If you're an ambitious developer who cares about developer experience and is passionate about building great language tooling, we'd love to hear from you.