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Select how often (in days) to receive an alert: Create Alert BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualifiedwith at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems DigitalIntelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of DigitalIntelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours. Job Title: Research Scientist - Knowledge & Semantics Job City: Great Baddow Professional Area: Data Analysis and Management

Home Job Opportunities Physical Oceanographer, Ocean Glider Scientist - National Oceanography Centre, Liverpool Physical Oceanographer, Ocean Glider Scientist - National Oceanography Centre, Liverpool Full time (37 hours) Fixed term (24 months) About the role: The Natural Environment Research Council is a partner organisation within UK Research and Innovation (UKRI). UKRI is a new entitythat brings together nine partnersto create an independent organisation with a strong voice for research and innovation and a vision to ensure the UK maintains its world-leading position in research and innovation. The NOC has taken a leading role in the use of autonomous vehicles for ocean research and invested in a dedicated national facility managing over 30 marine robots. We are currently seeking a talented physical oceanographer to join the growing team of scientists and engineers at the NOC working with these robots to undertake a broad range of multi-disciplinary research in high-latitude, temperate and tropical regions, from the coast to deep ocean. This position will focus on using data from ocean gliders and other AUVs to develop improved understanding of the mixing mechanisms that control the physical structure of our seas and the biogeochemical and climate implications. This work will be done as part of a multidisciplinary team at the NOC alongside UK and international partners. This role will support the AlterEco () project, which is currently undertaking a 14-month continuous deployment of ocean gliders in the North Sea and includes specialist turbulence, ADCP and nutrient sensors to investigate the physical and biogeochemical functioning of coastal and shelf seas. This role will expand into the Arctic as part of a series of projects working with international partners investigating water mass modification around Iceland and Svalbard shelf and shelf break regions. Applications are particularly encouraged from researchers interested in turbulence and mixing in the upper ocean and ocean interior and the subsequent impacts on fluxes in the ocean surface boundary layer and pycnocline. While the initial appointment is for 24 months, there is potential for extended funding to investigate water mass formation and mixing in the Arctic as new developments in under-ice navigation with AUVs are developed at the NOC. Suitably experienced or talented applicants will have the opportunity to develop this role as a PI and establish their own research interests at the NOC. About you: You will have a strong background in ocean physics (PhD or equivalent experience) with a proven track record of publishing your work in peer reviewed international journals. You will have extensive experience of processing and analysing observational ocean data and have suitable coding skills to develop your own solutions to emerging problems associated with processing complex, multi-variable datasets from multiple platforms. Preferably, you will have experience of working at sea and overseeing deployment of instrumentation on both small and large vessels. Applicants with experience in processing and analysing shear and temperature microstructure data are strongly encouraged to apply. Experience working with data collected from ocean gliders would also be highly desirable. Other information: This position will include seagoing duties in the North Sea and Arctic regions, potentially for several weeks duration. Overseas and national travel will also be necessary to attend project meetings and conferences. The starting salary for this position will be between £28,200 and £32,430 per annum (Band 6) or £35,222 and £40,505 per annum (Band 5). About us: The National Oceanography Centre (NOC) is a national research organisation, delivering integrated marine science and technology from the coast to the deep ocean and is one of the top five institutions of its kind in the world. With sites in Liverpool and Southampton, it is the UK's leading centre for sea level science, coastal and deep ocean research and technology development. This position will be based in Liverpool as part of the Coastal Ocean Processes group. NOC is part of the Natural Environmental Research Council (NERC), which is one of the nine partners within UK Research and Innovation (UKRI). For more information visit . What we can offer you: At the National Oceanography Centre (NOC) we know that the quality of our science and the impact that we want it to have depends entirely on the knowledge, skills and engagement of our people. The NOC is committed to flexible employment practices to support employees' work and personal commitments where possible. Our flexi-time system and flexible working policy contribute to this important aim. In return for your talents, we offer a competitive remuneration package, including a RCUK pension scheme, 30 days annual leave with a further 14 Public/local days off and low cost car-parking. Opportunities for further training and development are supported. The NOC is an equal opportunities employer and welcomes applications from all sections of the community. There is a guaranteed interview scheme for suitable candidates with a disability and we welcome applications from ethnic minorities currently under-represented. The NOC is an Investors in People organisation and has signed up to the Athena SWAN charter principles to take action to address gender equality. How to apply: All internal and external applications are handled by the UK Shared Business Services Ltd (UK SBS). For further information about the role and how to apply, please visit our website at . To apply, please submit an up-to-date CV and covering letter explaining how your skills and experience meet the requirements of the role. If you are unable to apply online, please contact UK SBS by telephone on (0). For general enquiries regarding this role, please contact Dr. Matthew Palmer via email . Closing date: 6th July 2018 Interviews will take place during the week commencing 23 rd July. Appointment may start from August 1 st 2018 and no later than October 1 st 2018 If after interview we have a greater number of suitable candidates than we have vacancies for at this time, we may hold suitable applicants on a reserve list for 12 months for all the grades and locations advertised. This reserve list will be used for future vacancies in NOC that require the same (or similar) skills, experience, competencies and are of the same grade as the advertised posts. These could be offered to candidates on the reserve list without a new competition (but there will be no guarantee of a job offer). Your email address will not be published. Required fields are marked Comment Name E-mail Website

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Regulatory Operations Manager, Essential Home City: Slough With a trusted portfolio of world-class Air Care, Surface, Laundry and Pest Control products, the Essential Home team's purpose is to Make a House Your Home. Fuelling this newly formed business and leadership team is a diverse and inclusive culture for all. Together, we're shaping a team with a founder mentality: that listens and learns, and that is entrepreneurial, agile, and action oriented. With high-quality brands such as Air Wick, Cillit Bang, Calgon and Mortein, now is an exciting time to join a dynamic company full of purpose, pace and energy, that will create a truly unique learning and career opportunity for all. Research & Development In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role As a Regulatory Operations Manager for Essential Home (ES), you will be responsible for the content of dossiers and dossier packages and will ensure timely compilation, preparation of relevant part of dossiers and packages to support variation and registration changes in the launch and post launch of product lifecycle.You will ensure operational excellence of your area of responsibility and will align on priorities and resourcing with the RAS Director EH. Your responsibilities Responsible for the creation and delivery of regulatory dossiers, driving consistency & direction and guaranteeing the appropriate resources and expertise is applied in line with the agreed regulatory strategy to achieve in market registrations/launches as per planned timings and existing pipeline compliance. Managecomplex and diverse set of regulatory requirements and landscape overview across multiple markets Ensure your teams work in collaboration with other X-functional technical functions like Safety, Quality and R&D as well as other RAS areas and local teams to define documentation requirements and data gathering. Drive efficiency to deliver on EH business ambitions. Ensuring through dynamic resourcing that sections of the dossiers are delivered as per plans and that appropriate and aligned prioritization is implemented. This includes any relevant variations linked with supply and compliance plans for example. You will be ensureyour team: review and input into relevant data to maintain and deliver best in class regulatory dossiers and launch packages according to regulatory requirements Create and collate market specific documentation where applicable Assembly of safety parts of general product files Quality checks to ensure compliance with requirements and drive content consistency. Develops and inputs into dossier score cards where applicable Provide input into the strategy on dossier/regulatory file Ensure core dossiers/regulatory files are maintained and incorporates changes through the lifecycle to allow efficient roll outs The experience we're looking for Bachelor of Science (BSc) / Master of Science (MS) degree in a relevant scientific discipline - such as Chemistry, Biological Sciences, Microbiology, Pharmacy, alongside significant applied industry experience. A PhD degree is a benefit but not a requirement. You bring significant prior experience in regulatory affairs (detergent/biocide/disinfectant/general/etc.), with a strong track record of successful projects delivered. Experience in creating and maintaining biocide and disinfectant dossiers and supporting documentation. You have the knowledge and understanding of global product development and maintenance for EH products, rules, regulations and guidelines current and emerging impacting dossiers/regulatory file maintenance Ability to consistently deliver to time, cost and quality standards in a high pressure environment. Ability to anticipate future trends accurately and has a broad knowledge and perspective on regulatory implications in the medicines area and has the ability to adapt them to regulatory operations linked with dossier generation and maitenance Ability to translate complex regulatory information into a compelling stakeholder friendly language. You have strong intellectual curiosity with an appetite for exploring new and previously unchartered territories and an openness to change with ability to think out of the box The skills for success Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Intellectual Property, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Meet DeepL DeepL is a global communications platform powered by Language AI. Since 2017, we've been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas. Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination. What sets us apart What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn , Instagram and our Blog . Please note that the deadline for applications for this role is Tuesday 17 June at 23:00 BST. Applications will not be reviewed until after the deadline. As the Director of Data Insights and Analytics, you will be the strategic and technical lead responsible for building a best-in-class data function focused on driving revenue performance. This role will sit at the intersection of data engineering, analytics, and data science, and will partner closely with Sales, Customer Success, Marketing, and Tech teams. You'll lead the development of robust data pipelines, ensure data quality and governance, design advanced analytics capabilities, and build predictive models to optimize revenue outcomes. We're seeking a strategic leader who thrives in a fast-paced environment and is passionate about leveraging data and technology, particularly AI, to drive success. The ideal candidate is a collaborative problem-solver with a deep understanding of B2B analytical needs, has a strong technical acumen, and a proven ability to lead high-performing teams. Your Responsibilities Data Strategy & Infrastructure Design and implement a comprehensive road map that empowers go-to-market (GTM) departments to make informed, data-led decisions. Cross-functional collaboration: Partner with Sales, Marketing, Customer, and Tech teams to deliver insights that inform strategic direction and enhance overall business outcomes. Design and maintain scalable, secure, and reliable data pipelines that support revenue analytics across the customer lifecycle. Lead integration across CRM, CS, billing, and product usage platforms (e.g., Salesforce, Gainsight, Hubspot, Clickhouse, Databricks). Define and enforce best practices in data integrity, lineage, and governance to ensure trusted and unified reporting. Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency. Analytics & Insights Build and evolve dashboards, KPIs, and reporting suites that measure performance across Sales and Customer Success. Translate complex data into actionable insights and strategic recommendations for revenue leaders. Partner with RevOps and GTM leadership to develop pipeline forecasting, churn analysis, segmentation strategies, and performance attribution models. Data Science & Predictive Modeling Develop and deploy predictive models to support lead scoring, customer health scoring, revenue forecasting, upsell/cross-sell propensity, and retention. Evaluate and continuously improve model accuracy, bias, and effectiveness using advanced statistical techniques. Collaborate with engineering and product teams to embed intelligence into operational workflows and systems. Team Leadership Lead and mentor a team of data analysts, scientists, and engineers. Foster a culture of collaboration, innovation, and continuous improvement. Champion a practice of experimentation, curiosity, and data literacy across the Revenue organization. Qualities we're looking for: 8+ years of experience in data analytics, data science or business intelligence, with a proven focus on Revenue, Sales, or Customer organisations. At least 4 years in a leadership role managing cross-functional data teams in a SaaS, tech or AI-driven company. B2B Experience. Develop and track key performance metrics related to sales-assist growth, cost of acquisition, pipeline health, conversion efficiency, sales productivity and customer retention. Partner with Finance on revenue reporting and reconciliation. Deep understanding of CRM and Customer Success data models (Salesforce, HubSpot, Gainsight). Strong experience building and maintaining data pipelines with modern tools (e.g., dbt, Airflow, Fivetran, Snowflake). Proven success developing and operationalizing predictive models using Python or SQL. Expert-level skills in data visualization and BI platforms (e.g., Looker, Tableau, Metabase). Excellent communication, stakeholder management, and cross-functional collaboration skills. Strong collaboration skills, with the ability to concisely report technical information to both technical and non-technical audiences. Strong personal impact. Ability to present to and influence senior leaders, ability to challenge and communicate complex subjects in a simple way Proactive and self-motivated, with a passion for continuous learning and staying up-to-date with industry trends and best practices People Leadership. Experience building and scaling analytics teams in fast-paced, high-growth environments. Demonstrated experience in building, inspiring, and developing high-performing teams. Proven ability to set clear expectations for direct reports, evaluate performance, and support career growth. Ability to work in a fast-paced environment: creating plans which are highly flexible based on numerous internal and external dependencies What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. We are an equal opportunity employer You are welcome at DeepL for who you are-we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.

In Vivo Scientist About Us: Our client is a pioneering biotechnology company dedicated to advancing scientific discovery and improving lives. Their research team is committed to pushing the boundaries of innovation, and we are looking for an experienced In Vivo Scientist to join them on this exciting journey. Please keep in mind that for this position, you will need to be a pil AB holder. The Role: As an In Vivo Scientist, you will play a crucial role in designing, executing, and analysing preclinical studies that drive our research programs forward. You will leverage your expertise in animal models to generate critical data that informs our drug discovery and development efforts. You will also be responsible for supporting junior team members through training and mentoring. Key Responsibilities: Demonstrate competency in a broad range of in vivo techniques, including dosing, surgical skills and advanced procedures Maintain and comply with Home Office legislation (Animals (Scientific Procedures) Act 1986) for care and welfare of research species Support the culture of care and high standards of animal welfare Ensure meticulous record-keeping, including study data and animal health records Provide high-quality data production and reports to Study Directors, ensuring scientific integrity and quality control Support training on experimental procedures and regulatory compliance Participate in maintaining facility sanitation, husbandry, and cage washing procedures What We're Looking For: A degree (PhD, MSc, or BSc) in biology, pharmacology, or a related discipline Hands-on experience in in vivo models, including dosing, surgery, welfare assessment, and ex-vivo tissue collection A team player with excellent communication and problem-solving abilities Passion, curiosity, and a drive to make a real impact in the field of biotechnology Experience in maintaining accurate scientific records and working within regulatory frameworks If you're ready to take your career to the next level and be part of something truly transformative, we want to hear from you! Apply today and help shape the future of science. Join us and make a difference!

Location: MMM Headquarters, HSK, London Workplace Type: Hybrid About the role Mail Metro Media is seeking a Commercial Strategy Manager, Commerce to join our growing Commercial team. This role will be responsible for developing and executing strategies that drive commerce revenue growth - including partnerships, affiliate programs, shoppable content initiatives, and new monetisation opportunities - to strengthen our market position. The role requires collaboration with cross-functional teams to deliver key commerce objectives and drive innovation across the business. Main Responsibilities Strategic Planning and Execution Develop and implement commercial commerce strategies that drive revenue and profitability. Identify, assess, and launch new commerce opportunities, including new affiliate partnerships, shoppable content formats, and performance marketing initiatives. Conduct thorough market research, competitor analysis, and audience insights to inform strategy development and enhance commercial decision-making. Monitor and analyse key performance indicators (KPIs) to evaluate the success of commerce initiatives and recommend optimisations. Identify and proactively mitigate risks and challenges associated with commerce strategies. Collaborate closely with Product, Editorial, Audience, Data, and Sales teams to align initiatives with overall business goals and customer needs. Partnership Development Manage and nurture relationships with affiliate networks, technology providers, retailers, and e-commerce platforms. Evaluate and onboard new commerce partners and platforms to expand Mail Metro Media's commercial ecosystem. Negotiate commercial terms, service levels, and revenue-sharing agreements with partners. Stakeholder Management Collate data and insights to develop compelling strategic recommendations for senior leadership. Present regular updates on the progress of key commerce initiatives and surface risks and opportunities in a timely manner. Develop business cases to support new initiatives, clearly articulating value propositions and revenue forecasts. Work collaboratively with global teams to ensure commerce priorities are consistent across markets. Team Leadership & Development Promote operational excellence by optimising workflows, meetings, and cross-team processes. Encourage a culture of innovation, accountability, and knowledge sharing. Document and share best practices and learnings to upskill teams across the business. Person Specification 4-5 years' experience in commercial strategy, e-commerce, or strategy consulting. Strong understanding of affiliate marketing, e-commerce ecosystems, and digital media monetisation. Proven track record of delivering commerce-driven revenue growth and operational improvements. Excellent analytical and quantitative skills; creative problem solver with high attention to detail. Strong communication skills, capable of distilling complex information for senior leadership audiences. Exceptional organisational skills, with an ability to juggle multiple priorities and work independently under tight deadlines. Ability to build strong working relationships across business units and leadership levels. Experience in media, technology, e-commerce, or a related industry preferred. About Mail Metro Media Mail Metro Media is the advertising home of some of the UK's most engaged newsbrands: Daily Mail, The Mail on Sunday, MailOnline, Metro, The i Paper, New Scientist and The Telegraph (print products). The team provides a single point of contact across print, digital, audio, video and social, allowing agencies and advertisers easy access to the millions of consumers who engage with dmg media's brands every day. Leadership At the helm of Mail Metro Media are Chief Revenue Officer, Dom Williams, who is responsible for all advertising revenue across our far-reaching portfolio and Executive Director, Digital, Hannah Buitekant, who is responsible for digital operations, data, and indirect revenue. Dom and Hannah are supported by an extensive senior leadership team that boasts a wealth of specialist media knowledge and decades of industry experience. Why work for Mail Metro Media? Not only will you be a part of the biggest media organisation in the UK, but you'll work somewhere that's dedicated to people and culture. Our people are a top priority - whether that's supporting mental health, being Disability Confident, accommodating parenthood, providing fitness classes, driving diversity and inclusion, flexibility, or anything else, it matters to us. Many of our team members work flexibly, in many different ways, including flexible hours or an element of working from home. Please talk to us during your interview about any flexibility you may need - we can usually find a way to make work work for you! Here are some of the top reasons our people love working for us: Collaborate and innovate with the best people in media on a daily basis Work in an award-winning team in the fast-paced world of news and entertainment Get support in reaching your professional goals through webinars, workshops, mentorship and more Get personal support through mental wellbeing, volunteering time off, our menopause policies, a working parents group, our EDI Champions network, and more Comprehensive benefits including medical and dental insurance, childcare schemes, a huge range of discounts, enhanced pension contributions and more A lively, friendly office complete with a free gym, subsidised canteen and doctor's surgery (London only) Package Description Our benefits package increases the longer you've been with us. Here's what to expect: 25 days' holiday (increasing by 1 per year up to a total of 30) Upon joining you will be automatically enrolled onto the Pension Plan at the minimum level of 5% employee contribution, 3% Company contribution. Life cover under the Pension Plan 4x your basic salary. DMGT Discounts (for discounts on online shopping, vouchers and reloadable cards) Subsidised canteen Onsite gym (Northcliffe House only) Onsite nurse and GP clinics (Northcliffe House only) Our Employee Assistance Programme Discounted dining cards Plus many other benefits . Our Commitment We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.

National Oceanography Centre, Southampton Permanent Full time (37 hours per week) £42, 062 - £46 , 141 Who are we? We are the National Oceanography Centre (NOC) - the UK's leading institution for integrated coastal and deep ocean research. Through our ground-breaking research, collaboration, and game-changing innovation we work to gain a deeper understanding of our ocean, helping every living thing on our planet flourish. We are made up of a dynamic and vibrant community focused on solving challenging long-term marine science problems, underpinning international and UK public policy, business and societal outcomes. The ocean has the potential to provide the solutions to so many of the social, economic and environmental challenges we face worldwide. To truly harness the value of the ocean, we put ocean research, science and discovery at the heart of our culture. Join us in shaping the future of oceanographic research and contribute your unique perspective to our organisation. About the role We are seeking to recruit an enthusiastic marine geoscientist with experience in acquisition, analysis and integration of scientific datasets in relation to offshore geohazards research. You will contribute to several exciting multidisciplinary and international projects investigating marine geohazards that include submarine landslides, turbidity currents, tsunamis, and volcanoes and associated hazards (including pyroclastic density currents and lahars). You will contribute to world-class research, supporting the delivery of active funded projects that span: i) land-ocean characterisation of lahars in the Caribbean; ii) volcanic hazards in the Aegean Sea; iii) multi-hazards across the South Pacific that affect small island developing states; iv) novel source to sink direct monitoring of turbidity currents in the NE Atlantic; and v) earthquake-triggered submarine landslides and tsunami in the Kingdom of Tonga. The successful applicant will join the thriving Marine Geoscience research group at the NOC, whose expertise includes volcanology, seismology, rock physics, geochemistry and sedimentology, and will have access to world-class research facilities. This role will involve collaboration with groups across the NOC, which encompass a wide range of ocean science, technology and engineering. The post-holder will have the support to continue to develop their skills and career, to grow their research portfolio in the area of marine geohazards, and to develop collaborations nationally and internationally. They will have the opportunity to engage with ongoing research programmes at NOC as well as having the time to develop their own projects, research direction and science leadership skills. The role will require overseas travel including attendance at workshops and conferences, onshore fieldwork, and participation in seagoing expeditions on British and other research vessels. About you We are looking for a candidate that brings research experience in analysis and interpretation of some or all of the following: i) seafloor mapping; ii) sediment coring; iii) hydrodynamic monitoring (e.g. Acoustic Doppler Current Profiler); iv) satellite and remote sensing; and v) socioeconomic impacts of natural hazards. Applicants should have (or be in the process of completing) a PhD in geology or a geoscience/Earth science related subject. Why NOC? We offer a generous set of benefits, including: - 30 days contractual annual leave, plus 3.5 extra closure days and bank holidays - a 10% employer contribution pension scheme - access to our Employee Assistance Programme, offering free and anonymous support on mental, physical, emotional, health and financial issues - access to a flexible benefits portal offering online discounts, cashback and eGift cards - a Cycle2Work scheme allowing employees to acquire bikes and accessories - a great working environment with a number of social events, including summer and Christmas celebrations - we are proud to be a Living Wage Employer Location This position will be based in Southampton. The centre is well connected by public transport and has ample cycle parking in addition to free onsite car-parking with over 40 EV charging points. We have a hybrid working approach where for most positions staff can work from home up to 2 days per week. If you are interested in this position, but require a more flexible working arrangement, please contact the recruitment team using the contact details below. We can support visa applications where required. We may be able to offer financial support for applicants who will need to relocate for this position. Submitting an application Please click 'Apply for this job' and submit an up-to-date CV and cover letter. If you are unable to apply online, please contact the NOC recruitment team at / . Before submitting your application please ensure you have reviewed the attached job description and person specification. We are committed to fostering diversity and inclusion in our workplace. We actively encourage qualified candidates from all backgrounds to apply for this position, as we strive to create a supportive and equitable environment where all voices are valued and heard. Those seeking employment at NOC are considered solely on their qualifications, skills and experience, without regard to gender, gender identity, age, race, religion, disability, sex, sexual orientation, relationship status, family status (including pregnancy / maternity leave) or any other protected characteristic. There is a guaranteed interview scheme for candidates who meet the minimum criteria of the position and declare a disability. NOC is an Investors in People organisation. Date advert posted:2 June 2025. Closing date: 4 July 2025. This vacancy may close earlier depending on the number of applicants. Please note we are not accepting applications via recruitment agencies for this position.

Press Tab to Move to Skip to Content Link Salary: £59,600 - £69,800 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: Permanent Location: London, Glasgow or Salford. This is a hybrid role, and the successful candidate will balance office working with home working. We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our candidate pack . Freelancers are eligible to apply for an internal role if they are on a Worker Contract and they have worked continuously for 6 months. If they have worked for less than 6 months continuously or have a break of 3 weeks or more between engagements, they must seek Divisional HR approval to apply for an internal role prior to submitting an application. Job Intro The BBC has been serving audiences online for more than 20 years. Across key products including BBC iPlayer, News, Sport, Weather and Sounds, we entertain, educate and inform audiences in their millions every day. But behind the scenes we have work to do. We are making the shift from being a broadcaster that speaks to our audiences to becoming a service that is directly shaped by them and designed around their wants and needs. AI is fundamental to this journey: enriching and expanding our content, improving journalist workflows and powering personalised experiences for millions of audience members. The new era of generative AI offers opportunities and challenges on a much larger scale. We are hiring software engineers across multiple seniority levels to join a cross-functional team that builds AI products for content production use cases, focusing on generative AI. This team builds products end-to-end, from innovative ideas to validated, scalable production systems serving thousands of internal users and improving the experience of millions. We work with our Responsible AI team to keep public service values at the heart of these products, ensuring they are aligned with our editorial values, serve the public good and maintain audience trust. We are a friendly and supportive team, and we love that we get to work on interesting and important problems that have a real impact on the audience's experience and the future of the BBC. The BBC has an industry-leading engineering culture with a strong focus on best practice and a wide range of opportunities for learning and career growth. Diverse representation of people within the team is vital, and we work in an open, supportive and inclusive manner. This team will build AI services that integrate with user-facing applications, working closely with front-end engineering teams. Recent projects include: Fine-tuning and deploying open-source large language models on use cases that assist journalists and build audience engagement. Developing and deploying generative AI solutions to produce content metadata and improve the experience of hundreds of journalists and millions of users worldwide. Main Responsibilities Writing clean, maintainable, well-tested production code in Python. Designing, building, iterating on and maintaining AWS infrastructure for AI deployments, e.g. optimised LLM inference on GPUs, reliable model training and fine-tuning pipelines, CI/CD pipelines, data stores, model development environments, interfaces with 3rd party models and scalable APIs. Working with data scientists to train and evaluate in-house ML models and systems based on 3rd party models, build and validate prototypes then scale up into performant production systems. Following and iterating on our software engineering best practices such as code reviews, pair programming, TDD, model/data versioning, linting, automated test coverage analysis, infrastructure-as-code, CI/CD and clear and comprehensive documentation. Responding to production issues and outages, building monitoring infrastructure to ensure those instances are identified quickly and dealt with effectively and conducting PIRs and iterating on our infrastructure to ensure they don't happen again. Researching and experimenting with new AI technologies as they emerge. Supporting more junior colleagues. Closely collaborating with other engineers and cross-functional teammates and stakeholders, attending Agile ceremonies like stand-ups, retros, sprint planning and knowledge sharing sessions. Engaging with the wider engineering and ML community at the BBC. Are you the right candidate? We are open to a range of backgrounds, from ML engineers with hands-on model training and deployment experience, to DevOps and MLOps engineers to strong general software engineers with a real desire to learn about AI. You are encouraged to apply even if you don't meet every one of the criteria listed! Strong coding skills, preferably in Python. Expertise in software engineering best practices such as testing and code management and deployment. Experience designing and building cloud-based software, preferably on AWS. Ability to clearly communicate to both technical and non-technical team members. Ability to work effectively in a cross functional team. Experience leading technical projects and engaging with stakeholders. A strong interest in AI. DevOps/MLOps experience, e.g. deploying ML models, setting up training pipelines, model registries, monitoring etc. Hands-on experience training and evaluating ML models. Managing databases and data pipelines. Experience with generative AI. Mentorship of more junior colleagues. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviourshere . Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please clickhere . Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved content, and the BBC's mission to inform, educate and entertain. Find out more about the BBC Life at BBC Here you will benefit from: • Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pensionscheme and discounted dental, health care and gym click apply for full job details

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualified with at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work, successful candidates for this role will be required to go through Government SC clearance prior to starting with us. Security Vetting and Clearance Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.