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Job Title: SCADA Project Engineer Department: Cyber & Digital Location: Hemel Hempstead Join Our Team at BPA: Officially Where it's a Great Place to Work! About BPA: At BPA, we are at the forefront of the hydrocarbon transport and storage industry, proudly owned 50/50 by BP and Shell - two of the world's leading oil majors. With around 180 dedicated professionals across the UK, we play a vital role in "Keeping the UK Moving 24/7/365" by operating a variety of onshore facilities and provide our renowned operational and engineering consultancy services worldwide. Our dedication to excellence is reflected in our lively membership in key industry bodies and our adherence to internationally accredited standards. Our People: What sets BPA apart is our people. Our clients choose us for our professionalism, capability, and depth of experience. With over a century of combined industry knowledge, our Leadership team is passionate about developing the potential of our staff. We invest heavily in ongoing training and development to ensure our teams not only have fulfilling careers but also deliver 'best in class' technical advice and services to our clients. What's the Job About? As a (Graduate) Engineer you will support the Senior Engineer (Operational Technology) in the development, collation, and management of SCADA site data packs used to underpin the SCADA User Requirements Specification (URS). The role focuses on gathering accurate, consistent site-specific technical and operational data and presenting it in a structured format suitable for URS development and vendor engagement. The role will develop you to become an OT Engineer. What You'll Be Doing: Site Data Pack Development: Create and maintain SCADA site data packs. Collate control room layouts, site configurations, PLC/RTU details, and communications assets. Organise site information into consistent templates for URS use. Data Collection & Validation: Gather data from site surveys, drawings, and operational stakeholders. Identify data gaps, inconsistencies, and assumptions. Maintain traceability to data sources. UR System Support: Map site data to URS sections. Support URS reviews and clarification responses. Support the development of the alarm requirement specification What You'll Need: Degree in Electrical, Control & Instrumentation, Automation, or Systems Engineering. Strong ability to organise technical information.l High attention to detail and data accuracy. Proficiency in MS Word, Excel, and diagramming tools. Valid UK driving licence. Awareness of SCADA or industrial control systems. Familiarity with site surveys and asset data collection. Basic understanding of PLCs, RTUs, and control networks. Exposure to URS or FEED-stage engineering. Basic salary of £30,000 - £40,000 depending on experience and level (Graduate or Project Engineer). What's on Offer Generous pension (up to 12% employer contribution, 2% employee) Annual bonus scheme (up to 12% of annual salary) Life insurance (4x annual salary) 28days holiday + 8 days bank holidays Family friendly policies Employee assistance support scheme Private Medical Cover You will work on a hybrid basis out of Hemel Hempstead office and need to be based within commutable distance and have the right to work in the UK without sponsorship. Join us and become a vital part of a team, Keeping the UK Moving 24/7/365! Diversity & Inclusion We know that diverse teams drive innovation and excellence. Research shows that people from underrepresented groups may hesitate to apply if they don't meet every requirement. At BPA, we are dedicated to building a diverse and inclusive workplace. So, if you're excited about this role but your experience doesn't align perfectly with every detail in the job description, we encourage you to still apply. You may be just the right candidate for this or other roles.

Senior Associate, Quantitative Engineering page is loaded Senior Associate, Quantitative Engineeringlocations: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: R7681 Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Summary: We are looking for an Engineer with a passion for technology and significant breadth of fixed income product and systems experience to join the Systematic Credit Engineering team. This role is ideally suited to an individual with expert Python coding expertise who is eager to build tools and algorithms to support and enhance the research and trading processes at an early-stage tech-focused firm. The Role: You will be responsible for defining and owning end-to-end deliveries including model code and decision support tools to scale the firm, as well as tooling to support and enhance the research process. This will involve using your in-depth knowledge of fixed income instruments and breadth of knowledge of applied mathematical models and libraries to turn productive research insights into reliable and scalable code, as well as building new automation pipelines to automate business processes.In this varied role, you will also have the great opportunity to collaborate with colleagues across the firm, especially our team of Quantitative Researchers as well as within your team of Quantitative, Systems, and Platform Infrastructure Engineers. Strong stakeholder management skills are essential, as well as an understanding of products across the fixed income asset class (credit, interest rates, bonds, CDS, and related derivatives). Understanding of trade lifecycle, third party system integration, fixed income data, and operational processes will also be highly valued. Technical Responsibilities: Developing our software development toolkit, including source code control, CI/CD platform, test infrastructure, packaging, and deployment Engaging and collaborating with teams outside of Quantitative Engineering, specifically Quantitative Research but also including Risk, Compliance and Portfolio Management Providing expert guidance for projects and meetings requiring engineering input, for example due diligence, client meetings and vendor selection Evaluating data sources used in research and build-out parsers and processors for the same Implementing the signals, optimizers, and other software required by our models Implementing tools to enable and accelerate the research process Supporting production models Mentoring colleagues within the Engineering team Reviewing and testing code and systems, to the standards defined in the software development process As a 'code owner' on parts of our repository, you will also be expected to maintain the codebase to the highest quality in terms of code reviews and contributions, as defined in the software development process. Essential Skills and Direct Experience with: Demonstrable depth of experience with the breadth of fixed income products Experience at a fast-paced start-up, including open-source contributions, and/or a demonstrated ability to scale a codebase with 10-20+ full-time committers Desire to work as part of a team and strong communication skills Expert domain and data knowledge Experience in leading technical projects Expert knowledge of Python, including commercial experience on either large or fast-growing codebases Strong stakeholder management skills and related business analysis Expert knowledge of data platforms/providers and related technologies Experience working with mathematical models and libraries Prior experience mentoring/coaching engineers earlier in their careers Ability to parse problems and present solutions Ownership for the code you write. Desired Skills and Direct Experience with: Other asset classes, such as equities. Reporting Relationships Senior Vice President, Principal Quantitative Engineer There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active. Ares Management Corporation (NYSE: ARES) is a leading global alternative investment manager offering clients complementary primary and secondary investment solutions across the credit, real estate, private equity and infrastructure asset classes. We seek to provide flexible capital to support businesses and create value for our stakeholders and within our communities. By collaborating across our investment groups, we aim to generate consistent and attractive investment returns throughout market cycles. As of December 31, 2025, Ares Management's global platform had approximately $623 billion of assets under management(1) with more than 4,200 employees operating across North America, South America, Europe, Asia Pacific and the Middle East. For more information, please visit .Ares Management LLC (together with its related operating and administrative subsidiaries, "Ares Management") is an Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, ethnicity, creed, sex, age, national origin, alienage or citizenship status, disability, medical condition, pregnancy, marital status, partnership status, sexual orientation, status regarding public assistance, military or veteran status, domestic violence victim status, gender identity and expression, transgender status, genetic information, status as unemployed, political affiliation or any other characteristic protected by federal, state or local law.Ares Management will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Initiative for Hiring Ordinance.(1) As of December 31, 2025. AUM amounts include funds managed by Ivy Hill Asset Management, LP., a wholly owned portfolio company of Ares Capital Corporation and registered investment adviser.

At Kroo Bank, we are charting the future of banking with our groundbreaking technological innovations and unique digital services. The rapid advancements in the fintech sector necessitate ongoing evolution in the roles and responsibilities of our bank to effectively tackle new business opportunities and challenges. We are dedicated to consistently updating our job descriptions to ensure we continue to lead in banking innovation. How you will contribute and key responsibilities: As a Senior Security Engineer, you will be instrumental in designing and implementing security measures for our mobile applications, services, and websites to meet the highest security standards. Your expertise will help us continuously analyse and improve our security systems, ensuring that our products and services are not only secure by design but also comply with internal and external regulatory requirements. Other responsibilities include: Security Analysis and Improvement: Continuously analyse our security systems for potential improvements, ensuring that our defences remain at the forefront of cybersecurity practices. Vulnerability Management: Proactively identify, assess, and remediate security vulnerabilities to maintain the integrity and confidentiality of our customer data. Security Automation: Automate security processes and procedures to enhance efficiency and effectiveness, reducing the risk of human error. Security Requirements and Solutions: Identify, define, and document system security requirements, providing well-considered recommendations to management. Development of Security Standards: Develop and maintain best practices and security standards for the organisation, guiding teams in the implementation of secure coding practices. Secure Design: Collaborate with development teams to ensure that web and mobile front-ends, as well as microservice architectures, are designed with robust security measures in mind. Cloud security and secure infrastructure: Assist teams in diagnosing and addressing gaps in infrastructure security, aligning the organisation with industry security posture standards. Cybersecurity Collaboration: Work closely with stakeholders across the organisation to align security measures with our overarching cybersecurity strategy and protect the bank's technology infrastructure. Regulatory Compliance: Support teams in meeting compliance requirements for internal audits and external regulators, safeguarding against potential fines and reputational damage. To be successful in this role you should have skills and experience in multiple domains, such as application security, network security or security operations. You need to have programming experience and the ability to proactively seek out efficient and repetitive solutions to security challenges. At a minimum, you should have at least 3 years of experience in system, network or application security. You should also have a proven experience and knowledge with any combination of the following: Threat modelling and risk assessments, Working knowledge of secure coding principles (OWASP and OWASP mobile, SANS ), Experience with designing and administering identity management (authentication and authorisation including policy enforcement points, token services, protocols such as OAuth2), Working knowledge of cryptography including encryption, signing and digital certificates, Principles of securing mobile applications and web services, Docker or kubernetes and infrastructure as code, Event driven streaming technologies, Logging and monitoring, networks, firewalls, load balancers, DNS, CDNs, Working knowledge of agile DevSecOps environments, and CI/CD (Git, Concourse, Terraform), Working knowledge of SAST, DAST, RASP, and IAST tools and building security into existing SDLC processes, Knowledge of cloud Security Architecture of public clouds (such as AWS or GCP), Security certification such as CISSP, CCP, SANS, GAIC, Ethical Hacker, Experience in working in regulated company, preferably with a FinTech/ banking background and experience in DevOps, Excellent oral, written communication and presentation skills. What we offer: At our cutting-edge fintech company, we know that attracting and retaining the best talent means offering top-notch benefits that help our employees thrive both in and outside of work. Check out what we currently offer: Generous holiday time: 25 days annual leave, 8 bank holidays, 1 Kroo bank holiday (June 24th), and 1 day off during the week of your birthday. Personal days: We know that life can be unpredictable, so we offer 3 personal days to use as needed. Employer-sponsored volunteer program: We're passionate about giving back to our community, and we support our employees in doing the same with up to 4 hours per month of employer-sponsored volunteer time. Mental health support: We care about the mental health of our team members and offer access to Spill, our mental health support partner. Workplace pension: We want you to feel secure about your future, so we offer a workplace pension with a 5% employee contribution and a 3% employer top-up. Learning and development: After 1 year of service, you'll have access to £500 from the Kroo Learning Fund to invest in your career development. Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook laptop. Additionally, we also offer support in establishing your home office by contributing towards your setup if required. Modern office: When you're in the office, you'll enjoy access to our modern, bustling workspace in Farringdon, Central London. Cycle to Work scheme: We encourage sustainable transportation with our Cycle to Work scheme. Electric Car scheme: We're committed to reducing our carbon footprint, and our Electric Car scheme makes it easy for our employees to do the same. Enhanced parental leave: We know that family comes first, and we offer an enhanced parental leave policy to support our employees in starting and growing their families. You get full healthcare for you and your nuclear family via Vitality. Hybrid Working: At Kroo Bank, we have a hybrid policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource when used effectively. So, employees who can occasionally come to the office are a good fit for how we work right now. Keep in mind that this job involves working from Monday to Friday, with a mix of remote and office work, so you won't need to be on-site all the time. Diversity and Inclusion: We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process. To all Recruitment Agencies: At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes. To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.

Sherpany by Datasite is the leading Swiss meeting management solution, designed to meet the unique needs of the board, board committee, and executive meetings. Our solution streamlines the entire meeting process to make meetings more productive and thus enhancing company performance. Our customers include well known medium to large companies in all industries, such as Axpo, Raiffeisen Bank and Calida Group. More than 400 companies already use Sherpany. We've come a long way since 2011. Sherpany is now a team of 150 talented individuals, working from all around the world. Our culture is rooted in trust and responsibility, and we're proud of the productive and healthy nature of our work environment. Tasks As a Senior Growth Engineer, you are a product minded developer who thrives on seeing your work impact business metrics. You are comfortable working across the stack and collaborating with non technical stakeholders to move quickly and test ideas. Design, build, and run A/B tests to optimize product led growth loops, user activation funnels, and retention strategies. Develop and maintain user facing components and experiences, including the free trial sign up and onboarding process. Collaborate with DevOps and Engineering to scope and implement necessary infrastructure to support growth initiatives, such as trial environments or data pipelines. Instrument, measure, and analyze experiments and user behavior to provide data driven feedback to the Growth team. Build and maintain integrations with marketing, analytics, and CRM tools. Work across the full stack, with a strong emphasis on front end, to rapidly prototype, ship, and iterate on growth focused features. Partner with Product and Design to ideate and prioritize growth experimen Requirements What we will love about you: Extensive experience in front end development (e.g., React) and sufficient back end experience (e.g., Python, Django) to work autonomously on product features. Proven experience designing, implementing, and analyzing A/B tests using third party tools (e.g., Optimizely) or custom frameworks. Strong, data driven approach. Experience with product analytics tools (e.g., Amplitude, Mixpanel), and a solid understanding of SQL for data analysis. Deep understanding of the web stack and how to build high quality, performant user experiences. You can collaborate effectively with product managers, marketers, designers, and other engineers. You balance code quality with a "just get it done" mindset to move fast. You are comfortable switching priorities as new data emerges. You can frame problems, prioritize bets, and push the right initiatives forward. Benefits Join a Global Team Where Your Ideas Matter! At Sherpany, you'll be part of an international company with a flat hierarchy, meaning your voice is heard, and you can take on real responsibility from day one! Your ideas? Always welcome. Flexibility & Freedom: We value your work life balance! Enjoy flexible working hours, remote options, and even the chance for an unpaid sabbatical after your first year-perfect for digital nomads. Grow with Us: We invest in your development by offering financial support for further education, training, and more-because your success is our success. Well being Matters: Your mental health is important! That's why we partner with nilo.health to support you. Amazing Team Culture: We believe in fun, collaboration, and meaningful connections-expect awesome team events and a culture driven by strong values.

A leading life science company in the UK is seeking a Field Service Engineer. This role involves repairing instruments, supporting customers, and providing training. Candidates should possess an Electronic Engineering Diploma and experience in a customer-facing role, preferably in diagnostics. Bio-Rad offers competitive benefits including matched pension, health insurance, and a supportive work environment with hybrid working options.

Insight Investment is looking for a Data Architect to join the Data Platform team in Manchester. The Data Architect is responsible for defining, owning, and evolving the enterprise data architecture across the organisation's data estate. This role ensures that data structures are coherent, governable, scalable, and aligned to business meaning, enabling delivery teams to build high quality data products with confidence. Positioned within the Data Platform team, the Data Architect will provide crucial support to data engineers working in solution aligned product teams. This collaborative approach ensures that data architecture expertise is available across multiple delivery streams, fostering consistency and quality throughout the organisation's data landscape. The Data Architect acts as a bridge between knowledgeable engineers and the business, working closely with Data Stewards, Data Owners and Data Consumers to ensure that business semantics, domain concepts, and canonical definitions are consistently reflected in logical and physical data models. Role Responsibilities Own and maintain the physical data architecture across the core data estate, including schemas, tables, views, and modelling standards Design and evolve conceptual, logical, and physical data models across core business and investment domains Define and maintain canonical data models and shared entity definitions to support consistent cross domain reporting and analytics Work closely with Data Stewards to define and maintain business vocabularies, canonical definitions, and domain concepts Collaborate with Data Owners and Data Consumers to ensure data models accurately reflect agreed business meaning and usage Translate business concepts into logical and physical data structures that can be reliably implemented by engineering teams Act as a translator between business stakeholders and engineers, reducing ambiguity and rework caused by inconsistent interpretation of data Define and maintain data architecture standards, modelling conventions, and reference patterns Provide clear architectural guardrails that enable teams to deliver quickly while maintaining consistency and quality Partner with engineering teams to ensure solutions align with agreed data architecture principles Collaborate with governance and risk functions to ensure data designs are auditable, well documented, and compliant with organisational standards Experience Required Demonstrable understanding of core asset management concepts and how they are represented as data, including financial instruments, transactions, positions and holdings, portfolios, benchmarks, pricing, reference data, and legal entities. Able to apply this understanding when designing data models, integration patterns, and data domains to ensure consistency, scalability, auditability, and regulatory alignment Strong experience in conceptual, logical, and physical data modelling, with the ability to select appropriate modelling approaches based on use case and context Proven ability to design and maintain enterprise and canonical data models spanning multiple business domains Practical experience with dimensional and consumption oriented models for analytics and reporting Ability to apply Data as a Product principles when defining data assets, including clear purpose, ownership, consumers, and quality expectations Experience defining data architecture standards, patterns, and guardrails, and guiding teams through their adoption Solid understanding of data governance, metadata, lineage, and regulatory expectations in a regulated environment Experience working with modern data platforms, including cloud data warehouses and lakehouse architectures, from a data architecture and modelling perspective Strong SQL and relational modelling foundations Familiarity with data integration patterns, analytical data use cases, and layered data architectures (e.g. raw, curated, consumption) Clear understanding of how modelling and architectural decisions impact cost, performance, scalability, and operability, and able to articulate and document associated trade offs Able to work confidently with engineers, architects, data stewards, data owners, and non technical stakeholders, acting as a bridge between business meaning and technical implementation Strong communication skills, with the ability to explain data structures, semantics, and architectural trade offs clearly Consultative and influential, able to guide without direct authority Pragmatic and outcome focused, comfortable balancing strategic intent, delivery realities, and cost considerations Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability driven investment, risk management, full spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Position Overview We're seeking a Technical Program Manager to own release coordination across North's growing product portfolio. This role sits at the intersection of engineering, product, and customer delivery, ensuring that North ships reliably, communicates clearly, and continuously improves how it gets software out the door. About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. As a Technical Program Manager, you will: Own end-to-end release coordination for North, including managing release trains, defining cadences, and ensuring smooth execution across engineering and product teams Drive cherry pick and hotfix approval workflows, triaging urgency, aligning stakeholders, and shepherding changes through to deployment with appropriate guardrails Author and manage customer-facing release communications, translating technical changes into clear, accurate updates for enterprise customers and internal stakeholders Establish and scale release processes that allow North's teams to ship faster and with greater confidence as our platform grows Map cross-team dependencies and risks across the release pipeline, surfacing blockers early and coordinating resolution across engineering, product, and customer success Partner directly with North Leadership and Members of Technical Staff on efforts to improve release quality, velocity, and operational rigor Manage project tracking tools (Linear, GitHub workflows) and facilitate release planning sessions across cross-functional teams Respond quickly to program-level changes: clarifying scope, adjusting timelines, and marshaling the right resources when customer or market priorities shift. You may be a good fit if you: Have 3+ years as a Technical or Engineering Program Manager, with demonstrated experience in startup or high-growth environments Have owned or significantly contributed to software release processes, including versioning strategies, hotfix workflows, or staged rollout coordination Have experience with AI/ML products or technical platforms Are comfortable with low structure, high impact situations where you can build processes from scratch and operate at both tactical and strategic levels Communicate with precision. Able to interact with Technical Writing on customer-facing release notes and executive summaries as fluently as you track a GitHub PR Have strong bias for action and can move quickly from problem identification to solution implementation Have experience with project management and release tooling (Linear, Jira, GitHub, etc.) Love to automate your work, and can use North to do so! If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)

Insight Investment is looking for Security Architect to join the Data Platform team in Manchester. The role will focus on designing, implementing, and continuously enhancing the security of our Snowflake-based data platform hosted on Microsoft Azure. This role has been created to strengthen security-by-design principles throughout the platform's development and delivery processes. Working collaboratively within the team, you will partner closely with engineers and fellow architects to proactively identify cyber threats, devise proportionate security controls, and see these measures through to practical implementation. Your efforts will be instrumental in ensuring our platform remains secure and compliant, while supporting efficient and frictionless delivery. This is a hands-on, delivery-oriented position, embedded within the wider Data Platform team. You will play a key part in shaping our secure system development practices, championing robust governance and regulatory compliance, and enabling trusted access to data for users across the organisation. Role Responsibilities Design and implement security architecture for the Snowflake data platform on Microsoft Azure, encompassing data, identity, network, and platform controls, while embedding security into Snowflake workspaces and GitHub-backed repositories (secure branching, code reviews, pipelines, secrets management, and deployment patterns) Secure integrations with Sigma, Collibra, on-premises systems, other clouds/SaaS, and third-party vendors by ensuring connectivity, authentication, data exchange, and auditability Lead threat modelling and hands-on security assessments for systems, data flows, integrations, and vendors; translate findings into actionable controls, prioritise remediation, and track closure Implement and refine controls across IAM (Entra ID/Azure AD, Snowflake roles/RBAC), networking (private endpoints, firewall rules), encryption and key management (customer-managed keys, Key Vault), secrets management, monitoring, and logging, ensuring operability and observability (logs, alerts, dashboards), incident response, and post-incident learning Define and embed reusable, automatable security patterns, guardrails, and reference architectures in CI/CD; enforce secure data lifecycle controls (ingestion, storage, processing, sharing, retention/deletion), including classification, masking, and least-privilege access Work closely with the platform team and Internal Security to align on standards and enable secure delivery, contribute to Architecture Review Boards and technical risk management, and ensure compliance with legal, regulatory, industry, and enterprise standards, focusing on real risk reduction. Elevate the platform team's security maturity and mindset in the process Experience Required Snowflake on Azure security: role/warehouse design, RBAC, masking/row level controls, network policies, private connectivity, secure data sharing patterns Azure security: identity (Entra ID), network isolation (VNets, Private Link), Key Vault / customer managed keys, policy/blueprints, logging/monitoring GitHub security & DevSecOps: protected branches, code owners, signed commits, secrets management, GitHub Actions hardening, SAST/secret scanning, supply chain hygiene Infrastructure as Code (e.g., Terraform) and pipeline embedded controls (policy as code, automated checks, drift detection) Threat modelling & risk assessment skills; ability to turn threats into concrete, testable mitigations and track them to done Zero Trust and principal of least privilege mindset; strong grasp of enforcing role entitlement over data security (classification, tokenisation/masking, lineage, audit) Security observability: designing for logs, metrics and alerts that support detection, response and auditability Working familiarity with industry frameworks (e.g., NIST CSF, CSA Cloud Controls) to communicate design rationale in governance forums Clear, pragmatic communication to brief engineers, product, architects and ARB succinctly; documents decisions and residual risk Behaviours: collaborative, embedded, outcome focused, balances speed and safety, takes ownership, learns from incidents, influences through expertise, consultative stakeholder style, curiosity, continuous improvement mindset, transparent about trade offs and residual risk Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities. Insight has a global network of operations in the UK, Ireland, Germany, US, Japan and Australia. More information about Insight Investment can be found at:

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. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills 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) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills 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 Track record of developing, deploying business critical machine learning models

Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Senior Python Developer (AI Augmented) Level: Senior (5-7 years) Location: London / Hybrid policy Employment type: Permanent Reporting to: Lead Architect Why this role exists We're modernising a complex back end and need senior developers who can move fast with quality-leveraging AI augmented coding tools (Claude, GitHub Copilot, CodeLlama/Codex, etc.) to accelerate analysis of the current system and delivery of well tested, maintainable features. You'll pair program frequently, practice TDD, and own your code from dev to prod. What you'll do Build & ship Python services: Design, implement, and maintain backend services/APIs (Django or FastAPI), with clear boundaries, strong typing, and robust observability. Use AI for the heavy lifting: Employ AI tools to analyse legacy code, draft migration plans, generate scaffolds/tests, and speed up refactors-while applying human judgment to validate outputs and manage risks. TDD as standard: Write tests first and automate end to end validation (e.g., Playwright for web flows; pytest for unit/integration). Pair program often: Co design and co code to raise quality, share context, and keep momentum; rotate pairs for knowledge spread. Own the path to production: Build and maintain CI/CD pipelines; configure environments; instrument services (logging/metrics/traces); champion release health. Provision infra as code: Use Terraform to define cloud resources; keep everything reproducible and reviewable. Data & persistence: Model and optimise relational stores (SQL), write migrations, and tune performance. Engineering rigor: Code reviews, ADRs, threat modelling, performance profiling, and continuous refactoring. Team leadership: Mentor peers, help refine tickets, contribute to roadmaps, and uphold engineering standards. What you'll bring Must haves 5-7 years professional software development experience, with a very strong Python background. Hands on experience with AI augmented coding (e.g., Claude, GitHub Copilot, Codex), including practical understanding of pros/cons (context windows, hallucinations, privacy, licensing, code provenance, and when not to use AI). Solid web service development with Django or FastAPI. Strong SQL skills (schema design, migrations, query optimisation). Proven TDD mindset (unit/integration) and UI/E2E testing with Playwright. DevOps fluency: build/deploy your own pipelines (GitHub Actions/Azure DevOps/GitLab CI, etc.), containerisation (Docker), environment configuration, and infrastructure as code with Terraform. Comfortable with pair programming as a default practice; excellent communication and collaboration. Bias for action: you work quickly, test thoroughly, and keep quality high. Nice to haves Java experience (helpful for legacy interop; not essential). Cloud experience (AWS/Azure/GCP), including networking, secrets, and observability stacks (OpenTelemetry/Prometheus/Grafana). Security by design: OWASP, dependency scanning, SBOMs, and least privilege IAM. Performance tuning at API/database layers. How we build (principles) AI accelerated, human validated: Use AI to explore, summarise, and draft-engineers remain accountable for correctness, security, and maintainability. Test first: Every change includes tests; flaky tests are treated as production bugs. Small batches: Short lived branches, frequent merges, and automated deploys. Observability: SLOs, golden signals, and actionable alerts. Code health: Continuous refactoring, dependency hygiene, and ADRs for key decisions. We encourage you to apply, even if you don't meet all of the requirements. We value your growth potential and enthusiasm! What we offer Individual training budget and exam fees for certifications Flexible working hours and hybrid working model Company laptop and needed equipment Local package such as up to 7% matched pension contributions, extensive private health care, Bupa dental plan, and a seasonal ticket loan, enhanced maternity and parental leave, gym expense or well being monthly and mobile phone allowance Please read our Recruitment Privacy Policy before applying. All applicants must have the right to work in the UK. About Nordcloud Nordcloud is a European leader in cloud implementation, application development, managed services and training. It's a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from multi cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology. Learn more at Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.

Product Engineering at JLR is centred on innovation and creativity. From advanced driver assistance systems to developing the future of electric propulsion, the opportunities to create exceptional experiences for the future of motoring are wide-ranging. You'll work alongside industry experts to drive product strategy, manage programs, analyse performance, and lead transformation initiatives. Exceptional careers that bring world renowned vehicles to life start here. As an Instrumentation Build Engineer here, you'll play a hands on role in shaping the future of our prototype vehicles. You'll oversee the installation of measurement systems that help our engineering teams validate performance, refine ideas and push boundaries across every JLR brand. This is a chance to work "across all of the JLR brands and vehicles for their future prototypes" while being part of a small, supportive team where your expertise truly matters. If you're ready to channel your curiosity, embrace change and seize the opportunity to grow, you'll feel right at home. WHAT TO EXPECT In this role, no two tasks are the same. You'll collaborate with talented technicians, engineers and specialists, all working together to bring Modern Luxury to life. It's a role that will stretch your skills, expand your experience and give you the chance to flourish in an environment where individuality is celebrated. Here's what to expect: Oversee the installation of instrumentation and measurement systems on prototype vehicles, ensuring accurate and reliable data capture Apply measurement solutions across vehicles, rigs and components, using best practice techniques for temperature, pressure, flow, displacement, voltage and current Configure measurement systems and signal conditioning, ensuring the right excitation, filtering and sample rates Support workshop teams, coordinate instrumentation job cards and ensure installations are delivered to a high standard Work with engineering customers to solve problems, explore measurement options and support prototype build planning across multiple sites WHAT YOU'LL NEED Along with your ambition to achieve the exceptional, there are several skills that will help you succeed here, including: Experience in data acquisition and data logging sensors, including ETAS, Vector or Intrepid tools Knowledge of vehicle networks such as CAN, LIN, FlexRay or Ethernet Strong interpersonal skills and the ability to work effectively in a small, collaborative team Some experience with data acquisition software and test data presentation A growth mindset, with the confidence to learn, improve and grow in a fast moving environment At JLR, you'll join a place where everyone belongs and differences are cherished. You'll enjoy tailored benefits, opportunities for progression, and the chance to work on brand new prototype vehicles that shape our shared future. With opportunities to travel, a tight knit team and a culture built on creativity and respect, this is an environment where you can maximise your full potential and deliver on the moments that matter. BENEFITS This role is rewarding in more ways than one. On top of our core offering, you'll do extraordinary work with amazing people. In addition, you can expect a wide range of benefits: Discounted car purchase (open to family members, too) A 52 week maternity leave policy and a 4 week paternity leave policy. Other parental leave policies are available A JLR company performance related bonus An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning Access to open, employee led support and social networks Comprehensive Life Assurance and Income Protection policies Flexible working is offered for specific roles dependant on responsibilities. Please speak to the hiring team for details Creating Modern Luxury requires a modern approach to work. At JLR, hybrid working is a voluntary, non contractual arrangement providing employees more choice and flexibility around how, when and where they work. Some roles require more on site work, but details of this can be discussed with the hiring manager during the interview stage. We work hard to nurture a culture that is inclusive and welcoming to all. We understand candidates may require reasonable adjustments during the recruitment process. Please discuss these with your recruiter so we can accommodate your needs. Applicants from all backgrounds are welcome. If you're unsure that you meet the full criteria of a role - but you're interested in where it could take you - we still encourage you to apply. We believe in people's ability to grow and develop within their role - it's what makes living the exceptional with soul possible. JLR is committed to equal opportunity for all. At JLR, we are passionate about our people. They are at the heart of our business. We are committed to fostering a diverse, inclusive culture that is representative of our global customers and the society in which we live; a culture in which every one of our employees can bring their authentic self to work, and reach their full potential. Find out what to expect at each stage of the process along with some hints and tips. Find out more about working here in our JLR Life Blog: We look after our employees by offering a host of benefits and investing in their talent through award winning training.

CommerceIQ's AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world's largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world's leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate Palmolive, and Mondelez. We've raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. The Role As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI driven solutions that solve our customers' most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company's first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI driven e commerce. Location / Travel This position is on site at our London office with approximately 50% travel expected to client locations. We are only considering candidates located in the London, UK area at this time. What You'll Do Build prototypes with customers: Work alongside our AI Product Manager to understand real world problems, rapidly scope use cases and create working prototypes. You'll engage in hands on discovery and convert insights into functional demos for prospective and existing customers. Integrate data and create new AI agents: Ingest data from disparate sources (ERPs, ecommerce platforms, custom APIs) and build agents that solve the specific use cases uncovered during discovery. This includes turning edge case business rules into runtime editable settings rather than hard coded logic. Own AI outcomes: Lead customer facing demonstrations and proof of concepts. You'll instrument and tune models using production feedback loops to ensure prototypes deliver measurable outcomes. Rapidly iterate & generalize: Collaborate with engineering teams in Bangalore to transform prototypes into robust features. Your work will be implemented into our core product - patterns that succeed in one deployment (custom adapters, monitoring dashboards) should be packaged as reusable modules. Own the full lifecycle: Support engagements from pre sales scoping through post deployment refinement. You'll help to negotiate scope, push back on unreasonable asks, and ensure long term customer success. Additionally, you'll act as the technical liaison between customers, product managers, and engineering. Cultivate customer relationships: Develop deep empathy for our customers' business drivers and serve as their advocate. Use clear, engaging communication to convey technical concepts to non technical stakeholders, build trust and handle high stakes conversations. What You'll Bring Experienced engineer (4 6 years or more) with a strong foundation in software development (coding, problem solving and debugging). Comfortable coding in Python or Java and learning new technologies quickly. Full stack & data integration skills. Experience connecting to APIs, working with SQL/NoSQL databases, streaming/ETL pipelines and deploying AI/LLM based agents. Customer facing problem solver. You enjoy working directly with external users, conducting discovery, and translating ambiguous requirements into working solutions. You have excellent communication skills and the ability to simplify complex technical topics. Rapid prototyper. You are biased towards action and are comfortable delivering minimal viable solutions, collecting feedback and iterating quickly. Collaborative & global. You're effective working across time zones with leadership in California and engineering in Bangalore. You embrace CommerceIQ's leadership principles of ownership, deep diving into details, getting stuff done, thinking from first principles and winning as a team. Independent & adaptable. You thrive in ambiguity, can manage your own backlog and priorities, and are motivated by the opportunity to create a new function. Bachelor's degree, in Computer Science, Mathematics, or a related field. Nice to Haves Prior experience in a forward deployed, solutions engineering, technical product management or customer implementation role. Candidates coming from companies known for forward deployed engineering (e.g., Palantir, Scale AI, Ramp, Postman etc.) are strongly encouraged to apply. Familiarity with e commerce, retail, supply chain or ad tech data. Exposure to large language model applications (fine tuning, prompt engineering, building retrieval augmented generation workflows). Check out our LinkedIn page to learn more about what it's like to work at CommerceIQ! Equal Opportunity 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, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.