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Department: IT & Innovation Employment Type: Full Time Location: Heathrow Office Menzies is an equal opportunities employer which means that we recruit, employ, train, pay, and promote regardless of race, religion, national origin, gender, sexual orientation, disability or age. We are building a first-class team and, to do so, we know that we need a diverse mix of talented people doing their best work. If you’re ready to make an impact, lead with purpose, and work in a place where your voice truly matters, keep reading! We have a great opportunity for a Senior Data Engineer to join our team and can be based from any of our Menzies offices. The purpose of this role is to lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone. We blend technical excellence with genuine care for our people and clients. With over 1100 colleagues in the UK, we’ve built a culture based on shared values and mutual respect. Here’s why you’ll love working with us: 🌟 People First: Our work-life balance isn’t just talk. From agile working to generous leave, we create space for what matters to you and this is why we were recognised as one of the Best Places to Work 2024, 2025 and now also 2026 🌟 Work with Inspiring Clients: You’ll be working with a range of clients so no two days will be the same. 🌟 Collaborate Across The Firm: Working with various people across the firm to raise the profile of Menzies Academy 🌟 Innovate with Purpose: We’re always looking for better ways to work—leveraging tech, simplifying complexities, and delivering value. 🌟 Empathy at Our Core: We don’t just serve our clients; we build trusted relationships that stand the test of time. Here’s what you’ll be doing: • Lead the design and delivery of scalable, resilient data pipelines into BigQuery, integrating data from a wide range of internal systems, APIs, databases, files, webhooks and event streams., • Shape the engineering approach across Google Cloud Platform (GCP), working with technologies including BigQuery, Cloud Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code., • Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation., • Partner with teams across the firm to turn business needs into scalable, reusable data products, bringing together data from external and internal sources such as Companies House, HMRC, Exchange Online, Active Directory, iManage and Dayshape., • Embed security, governance and data quality by design, ensuring appropriate controls around data lineage, access, GDPR compliance, least-privilege security and the handling of sensitive client, HR, payroll and financial information., • Provide technical leadership to the wider team, reviewing designs and code, mentoring data engineers and analysts, and helping to strengthen engineering capability across the Innovation Team., • Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications., • Evaluate technology and integration options, making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost., • Champion data enablement across Menzies, supporting colleagues to confidently access, understand and use data safely and effectively., • Help shape the Innovation Team roadmap, prioritising strategic, repeatable platforms and solutions that can deliver value across the firm rather than one-off fixes. What We’re Looking For: We’re looking for an experienced and curious data professional who combines strong technical expertise with a practical, people-focused approach. You’ll be comfortable taking ownership, making sound technical decisions and bringing others with you; whether you’re mentoring colleagues, partnering with stakeholders or turning a complex business challenge into a scalable solution. You don’t need to tick every box. We’re interested in people who can bring the right mix of experience, technical capability and ambition to help us continue developing our data and innovation capability. What you’ll bring • Strong hands-on experience in data engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level., • Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions., • Strong experience with cloud data warehouses, ideally BigQuery, and a good working knowledge of the wider Google Cloud Platform (GCP) ecosystem., • Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling., • A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring, with a focus on building solutions that are scalable and maintainable., • Experience designing and operating production-grade data pipelines, integrating data from sources such as APIs, databases, flat files, webhooks and message queues., • A strong appreciation of data security and governance, including GDPR, role-based access, secrets management and the responsible handling of sensitive information., • The ability to take an ambiguous business challenge and turn it into a clear, pragmatic technical solution, balancing immediate needs with longer-term value., • Strong communication and stakeholder skills, with the confidence to make complex technical concepts accessible to non-technical audiences and influence decisions at different levels., • A collaborative leadership style, with a genuine interest in coaching others, sharing knowledge and raising engineering standards across the team. Qualifications & experienceA degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable expertise are just as important to us. Experience within professional services, finance, accounting, legal, tax, audit or another regulated environment would be an advantage, but it isn’t essential. Above all, we’re looking for someone who brings ownership, sound judgement and a delivery mindset. You’ll enjoy solving problems, challenging how things are done and finding better ways of working, while maintaining a strong focus on quality, security and risk. The role may involve occasional travel to other Menzies offices for workshops, discovery sessions, implementation support and team meetings. Why Join Us? At Menzies, we know that success starts with our people. That’s why we offer: 🌍 Career Development: From learning opportunities to career coaching, we’ll help you achieve your goals. 🌍 Competitive Benefits: Private medical cover, pension matching, and enhanced parental leave, to name a few. 🌍 Flexibility That Works for You: Agile working is embedded in our culture. 🌍 Perks That Go Beyond: From volunteering days to wellbeing initiatives, we care about your whole self. To find out more about our benefits please read here #J-18808-Ljbffr

Our client is a leading Asset Management company based in London and is seeking seeking a data expert to join a new Risk Data Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across the organisation are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data. They focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. In this role, you will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. This is a lead role and will serve as a player/coach, responsible for individual deliverables and will mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues. The role requires some experience / knowledge or risk analytics data. • Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg., • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls., • Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members., • Understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives., • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools., • Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance., • Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions., • Exposure to anomaly detection methods, statistical tools, and best practices for managing data quality workflows., • Excellent communication skills, with experience collaborating across technical, investment, and senior leadership teams., • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements., • Experience working in complex data environments, with the technical and analytical infrastructure required to support them., • Ability to identify and resolve root-cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source., • Skilled in developing automated processes to detect and resolve data errors, ensuring high-quality data for investment decision-making., • Experience in documenting key procedures and calculations and validating data for accuracy and completeness., • Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations. #J-18808-Ljbffr

Our client is an multi-strategy alternative asset manager in the reinsurance and capital markets space. They are looking for an academically strong quant developer with a masters+ level in maths/physics/theoretical physics/engineering field. They have a number of people in London and Bermuda. Your manager has a PhD and would work with you on projects such as the following: • Design a computational model applying reinsurance layers to a set of simulation files, taking into account ILWs, reinstatements, and adjustments that will want to flow through the whole programme., • Given a non-uniform pattern of business being written through the year, a distribution of policy inception dates, earning profiles and settlement lags, derive the discounted cashflow curves., • Model premium receipts, collateral funding, trapped collateral, claim payments, investment income, release mechanics and timing uncertainty. Then calculate expected return and sensitivity to loss timing., • Take apart Neil Bodoff's paper on capital allocation and generalise it to apply to profit distributions. Take a view on it as compared to alternative capital allocation approaches., • Write a review of risk measures and which we should adopt in the context of capital platforms., • Review portfolio optimisation algorithms and make a proposal for the one that is most effective for various capital platforms., • Review modern infrastructure as code, within the context of Azure and suggest how they can best use it in the implementation of dev, UAT and prod environments. We are optimising for a mathematically strong candidate. Development/coding experience is great, although that can largely be AI-assisted these days. Understanding the mathematics is very important for them and that is much more difficult. Reinsurance experience is not essential and they would be open to hiring a top notch PhD although some business experience (especially quant finance/reinsurance/capital markets) would be ideal. Please note this role will NOT lead to quant trading; if that's where your real interest is, this is not for you. This is predominantly on office-based role. They are unlikely to be able to sponsor work permits. #J-18808-Ljbffr

Weekend English Teacher – KS3 & 11+ Location: Langley or Feltham Hours: Weekends, within our normal class schedules Salary: From £ 30 p/h Contract: Permanent Inspire pupils to achieve their full potential AE Tuition is looking for an experienced and enthusiastic English Teacher to join our successful teaching team in Langley or Feltham. For more than 30 years, we have helped pupils develop the knowledge, confidence and independent learning skills needed to succeed in entrance examinations and throughout their education. This is an excellent opportunity for a qualified teacher seeking rewarding weekend work alongside an existing teaching position, or someone looking for a different working pattern outside mainstream school hours. The English Teacher role You will teach English to pupils studying at Key Stage 3 and preparing for our 11+ and Scholarship programmes. Working with AE Tuition's established teaching materials and methodology, you will help pupils strengthen their English skills and achieve consistently high academic standards. Your responsibilities will include: Delivering engaging and well-structured English lessons Teaching areas including comprehension, grammar, punctuation, spelling, vocabulary and creative writing Supporting pupils preparing for 11+, scholarship and independent school entrance examinations Monitoring pupil progress and identifying areas requiring additional support Providing clear, constructive feedback and encouragement Working closely with supervisors, classroom assistants and the wider tuition-centre team Following AE Tuition's established programmes, teaching methods and safeguarding procedures About you We would like to hear from English teachers who have: UK Qualified Teacher Status and relevant classroom experience Strong English subject knowledge, ideally at secondary or Key Stage 3 level The confidence to motivate academically ambitious pupils Excellent communication and classroom-management skills A patient, positive and encouraging teaching style Good organisational skills and attention to detail Confidence supporting pupils with mathematics at the required course level Availability to teach regularly at weekends Experience of teaching 11+, scholarship or independent school entrance preparation would be helpful, but it is not essential where strong transferable teaching experience can be demonstrated. Why join AE Tuition? Undertake rewarding teaching work that makes a visible difference to pupils Work within an established and highly structured educational programme Receive training in AE Tuition's specialist teaching methodology Use proven course materials and resources Work alongside an experienced and supportive tuition-centre team Gain additional teaching experience outside mainstream school hours Choose an opportunity based at either Langley or Feltham About AE Tuition AE Tuition is passionate about delivering excellence in education. Our programmes support pupils aged 7 to 15 and help them develop academic knowledge, examination techniques, organisation, resilience and independent learning skills. Our teachers, supervisors and classroom assistants work together to create a focused, supportive and first-class learning environment in which pupils can develop and succeed. Apply If you are a qualified English Teacher who would enjoy helping motivated pupils reach their potential, we would be delighted to hear from you. Please apply with your current CV, confirming your weekend availability and whether you would prefer to work at our Langley or Feltham tuition centre- this must be stated within the body of the CV The successful applicant will be required to undertake the appropriate DBS and safeguarding checks . TPBN1_UKTJ

Mathematics Teacher – Requirements. If you are a passionate Mathematics Teacher looking for a temporary opportunity in. We are recruiting a dedicated and enthusiastic Mathematics Teacher to join a welcoming secondary school in Tower Hamlets, East London.

The European Principal Investments team is hiring an Intern in London to support our continued growth. This is an opportunity to learn from a preeminent investment team with a strong track record and a substantial capital deployment agenda across the energy transition, the build out of digital infrastructure, and the strengthening of critical European supply chains. We operate with a flexible, opportunistic mandate—unconstrained by rigid investment guidelines—allowing us to invest across the capital structure, ownership levels, and stages of development. Why this internship: • Meaningful responsibility from day one on live deals and active portfolio assets, • Direct mentorship and daily exposure to senior team members, • Broad, end-to-end deal experience across origination, execution, and ownership, • Opportunity to contribute to the energy transition at scale across European markets, • Collaborative culture that values curiosity, initiative, and excellence What you'll do: • Work alongside senior members of the Principal Investments team to originate and execute investment opportunities across Europe, • Support the full investment lifecycle: market research, M&A valuation, due diligence, deal execution, financing/refinancing, and portfolio management, • Build and refine financial models to evaluate equity and debt opportunities, informing real investment decisions, • Prepare materials for investment committee and board approvals, pre- and post-investment, • Analyze complex financial, commercial, and power market data to develop and stress-test investment theses, • Track market trends, policy developments, and competitive dynamics to inform strategy, • Collaborate with trading, risk, legal, and operations to ensure timely and robust transaction execution, • Coordinate with external advisors such as consultants, lenders, legal, etc., • Maintain and enhance internal databases and market intelligence What you'll learn • Best-in-class financial modeling and valuation in real-world scenarios, • How investors assess risk/return, structure deals, and create value, • Power markets fundamentals and the evolving European energy transition landscape, • How to communicate insights succinctly to senior stakeholders and investment committees Qualifications • Currently pursuing a degree in finance, economics, mathematics, engineering, or a related field; other disciplines considered with demonstrable corporate finance experience, • Target graduation between December 2027 and Summer 2028 (i.e.: Candidate must be available for full-time roles by end of September 2028), • Strong financial modeling, analytical, and quantitative skills, • Clear and concise communication skills—written, verbal, and presentation, • High initiative, ownership mindset, and comfort working in a lean, fast-paced team, • Genuine interest in investing, the energy transition, and European power markets, • Prior experience in private equity, investment banking, or corporate finance is a plus, not a requirement, • Proficiency in a European language (e.g., French, German, or Spanish) is advantageous but not required. Internship details • Location: London, • Duration: 3 to 4 months, • Start window: No later than late June for summer internship, no later than late September for fall internship If you're excited by real responsibility, steep learning curves, and the chance to help shape Europe's energy future, we'd love to hear from you. JBRP1_UKTJ

Baltic Recruitment are delighted to be supporting a leading manufacturing organisation with their search for an experienced Business Systems Analyst to join their IT team. Overall Purpose: • To lead the strategic planning, implementation, and management of systems, processes, software and IT projects that enhance organisational efficiency, support business growth, and ensure technological innovation across all sites globally, making recommendations for future action within the Company. Key Duties: • Analyse the requirements of the organisation and organise the IT resources of the organisation accordingly, choosing the most suitable software and hardware., • Maintain MSSQL database systems using SQL server management Studio, • Manage and maintain ERP software including the development of custom applications & automation, • Analyse and optimise business processes through technology solutions; scoping, developing & implementing automation and integration initiatives to enhance productivity where appropriate., • Ability to script both within ERP software & related system architecture to support the needs of the business., • Extensive knowledge of SQL, with the ability to write SQL views, queries and stored procedures to support the needs of the business., • Knowledge of various scripting languages to support business objective., • Write reports and develop customer facing documents using Crystal reporting software., • Use of XML and XSL to support automation projects using Dataswitch software., • Audit and administer all IT systems - including K3 -Syspro, Gael - Q-Pulse, InfinityQS - Proficient, Microsoft 365 and Seagull - Bartender Label software and working knowledge of integrations and supporting systems used within the organisation, • Lead & manage the integration of complex systems and the implementation of enterprise-level software solutions., • To Document ALL Development work and file in a structured manner., • Identify and train to an acceptable level any business-critical development, • Identify & utilise advanced data analytics and business intelligence tools to support business objectives, • To act as the interface with suppliers of our systems and act as the technical liaison., • Assist with developing & shaping the organisation's IT strategy in alignment with business objectives; effectively executing such., • Lead & collaborate with cross-functional teams to identify technology needs, research and evaluate systems, and drive organisational change initiatives., • Lead & manage IT projects from conception to completion, including system upgrades, migrations, and new implementations ensuring they are delivered on time, within scope, and budget., • Provide on the job training for users; and ensure that instruction manuals are up to date and fit for purpose., • Provide emergency call support in line with company requirements., • To cover colleagues whenever possible during holidays and sickness., • Proactively research emerging technologies, assess their fit for the organisation, advise management and lead initiatives to implement innovative solutions that deliver measurable ROI. Key Requirements: • Educated to degree level in IT, Mathematics, Physics, Computing, Engineering (BEng)., • A sound knowledge of Microsoft operating systems and Microsoft 365., • Experience working in a similar role. The Package: • Highly competitive salary on offer depending on experience., • Flexible Working is offered for this position. Employee is able to build a Flexible allowance 2 days credit/1 day deficit., • Pension contribution 5%., • Pension Salary Sacrifice Scheme., • Death In service Benefit 2 x Annual salary., • Perkbox., • Health Shield, Cash Health Scheme. JBRP1_UKTJ

If you are a Mathematics Graduate looking to begin your career in teaching and this sounds like the opportunity you have been looking for, we would love to hear from you!. We look forward to supporting you in your application to this Mathematics Graduate opportunity. Are you a Mathematics Graduate l

Maths Graduate Teaching Assistant to join its Mathematics department from September 2026. As a Maths Graduate Teaching Assistant, you will be. Maths Graduate Teaching Assistant - Tower Hamlets - INDHOT.

Trainee Maths Teacher | Enfield | Immediate Start Are you a strong Maths graduate with an A or A* at A-Level looking to begin your career as a Trainee Maths Teacher? This Trainee Maths Teacher opportunity is ideal for an aspiring teacher looking to train and develop within a supportive secondary school in Enfield, teaching Maths across KS3-KS5. The school is looking for a Trainee Maths Teacher to join immediately on a permanent basis, offering the opportunity to gain classroom experience from day one while working alongside an experienced Maths department. Your Role as a Trainee Maths Teacher • Full-time, permanent position, • Immediate start, • Starting salary from £30,000, • Teach and support students across KS3-KS5, • Work alongside experienced Maths teachers, • Structured training pathway leading to QTS As a Trainee Maths Teacher, you will gain valuable classroom experience from the outset, gradually taking on more responsibility as your confidence develops. You'll have the opportunity to build your teaching skills across KS3, KS4 and KS5 while receiving support from experienced colleagues. What We Are Looking for in a Trainee Maths Teacher • A 2:1 degree or above in Mathematics or a related subject from a top UK university, • A* or A in A-Level Mathematics, • Strong Maths subject knowledge, • Excellent communication skills and a proactive attitude, • A genuine interest in developing a career in teaching, • Passion for supporting students across KS3-KS5 What You Can Expect • A supportive and well-established Maths department, • The opportunity to teach across KS3, KS4 and KS5, • Support and guidance from experienced teachers, • A permanent role with long-term career development, • A clear pathway towards QTS Apply Now | Trainee Maths Teacher If you're an ambitious Maths graduate looking to train as a teacher and gain experience across KS3-KS5, this could be an excellent opportunity to begin your teaching career at a secondary school in Enfield. Ribbons & Reeves are London's leading Education Recruiters. We specialise in helping educators of all levels secure long-term and permanent roles, such as this Trainee Maths Teacher role in Enfield. For other roles like this, check out our website, search ‘Ribbons & Reeves'. We look forward to supporting you in your application to this Trainee Maths Teacher role. JBRP1_UKTJ

Entity: Technology Job Family Group: IT&S Group Job Description: bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation. This is the highest individual contributor tier within the field — a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products — bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. • Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation., • Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery., • Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products., • Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value., • Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines., • Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams., • Lead complex, multi-team technical initiatives and influence organisational direction through technical authority., • Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions., • Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities., • Mentor senior engineers and data scientists, raising the technical bar across the subject area., • Partner with business and scientific customers to shape ML strategy and identify high-value opportunities., • Present technical strategies, architectural decisions, and outcomes to senior leadership. Essential • MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area)., • Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments., • Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing — with a consistent record of applying these to deliver production-grade products., • Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design., • Advanced programming experience in languages such as Python, Go, Java, or C++., • Advanced SQL knowledge., • Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring., • Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop)., • Knowledge of experimental design, scientific methodology, and analysis., • Strong partner management and confirmed ability to influence large organisations without direct authority., • Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes., • Continuous learning and improvement approach., • Deep experience in applied machine learning science — including developing novel algorithms and translating research into deployable, production-grade ML products., • Experience applying AI/ML to scientific, engineering, or R&D workflows — encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows., • Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production., • Experience designing or deploying Agentic AI systems — including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery., • Consistent record of innovation through publications in peer‑reviewed venues, invention disclosures (IDFs), patents, or open‑source contributions in machine learning or AI., • Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams., • Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks., • No prior experience in the energy industry required., • Competitive compensation and benefits package., • Opportunity to lead and shape the future of ML and AI at one of the world’s largest energy companies., • A culture that values scientific difficulty, engineering excellence, and continuous learning., • Hybrid working arrangements and a commitment to work-life balance., • Career development pathways in a world‑class technology organisation. Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer. Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Travel Requirement Negligible travel should be 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: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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. #J-18808-Ljbffr

Windsor Forest Colleges group is looking for a Programme Manager in Engineering and Electrical to join our Slough and Langley College team on a permanent, full-time basis. Programme Manager in Engineering and Electrical Reporting to the Curriculum Director, the Programme Manager in Engineering and Electrical combines classroom teaching and management responsibility for these curriculum areas. The role involves working 37 hours per week with a timetable consisting of 18 contact teaching hours with 7 hours of administrative remission. It offers a salary on the Programme Managers pay scale from PM1 £41,256 up to PM7 £49,315 depending on Qualifications and Experience. During the 18 teaching hours, the Programme Manager in Engineering and Electrical will be responsible for delivering Teaching on our Engineering Courses, with a focus on introducing the new T Level in Design and Development, alongside traditional mechanical engineering disciplines. Due to the successful candidate primarily teaching on the Engineering programmes, we are looking for someone with a relevant Engineering qualification and background who possesses sound mechanical engineering knowledge, an understanding of product design and technical drawing, and practical proficiency in additive manufacturing and CAD/CAM software, specifically SolidWorks, Cura, and Multisim Operational duties include maintaining high standards of teaching, learning, and assessment, managing team performance through staff reviews, delivering key performance indicators, and driving student retention and achievement. The role also involves developing the curriculum offer to align with local industry needs while utilising the college's specialist engineering workshops and equipment. Candidates must hold a minimum Level 4 teaching qualification alongside Level 2 qualifications in English and mathematics, with assessor or verifier awards being advantageous. Essential requirements include relevant industrial experience, a strong background in Further Education curriculum planning, and hands-on workshop competency operating equipment such as drills, lathes, milling machines, and laser cutters. About Us The Windsor Forest Colleges Group (TWFCG) is a leading education provider in the South East. Our staff work across 4 main campuses at Slough & Langley College, Windsor College, Strode's College (Egham) and Berkshire College of Agriculture (Maidenhead). Our teams place the learner at the heart of all we do and in our state-of-the-art learning environments, we are proud to deliver education and training to a diverse group of students and businesses each year For further details on this role please refer to the attached job description/person specification. Our staff benefit from: Generous non-working day entitlement Teachers' Pension Scheme (TPS) currently offering 28.68.% employer contribution Free onsite parking at all sites Access to a wide range of subsidised leisure courses Cycle to Work Scheme Family friendly policies supporting Work Life Balance Onsite Coffee Shop & Cafeteria Various health & wellbeing benefits including discounted gym memberships, confidential staff counselling and discounted hair and beauty treatments at The Salon at our Langley College site Please be advised that the vacancy will close on 21st November 2026 Interviews will be held on a rolling basis To apply please visit our careers page and complete the online application form. Please ensure you pay particular attention to the supporting statement of the online application form making sure to include details of how you meet each of the essential criteria listed on the person specification. *Applications will be shortlisted on a rolling basis, and we reserve the right to interview and appoint before this closing date. We therefore encourage you to apply at the earliest opportunity to avoid disappointment. The College is committed to safeguarding and promoting the welfare of children and young people and expects all its staff to share this commitment. Successful applicants will be required to undergo an enhanced DBS and Barred List check along with other legally required checks which are an essential part of the safeguarding process. Recruitment Agencies we have a PSL of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on this list. TPBN1_UKTJ

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FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

This Lecturer in Carpentry position focuses on instructing students on the Level 1 and 2 Carpentry courses offered at Slough and Langley College. Applicants must possess a Level 2 or higher qualification in Site Carpentry or Bench Joinery, alongside Level 2 credentials in English and mathematics. Wi

Seeking an experienced Head of Mathematics to lead a secondary school's Maths department, focusing on teaching quality, staff development, and student outcomes.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.

FindTutors is looking for passionate Applied Mathematics tutors to join our growing online teaching community.