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Required Skill Amazon Web Service (AWS); Databricks; ML Ops; MLFlow; Python Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description/ Summary Who we are: Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we're building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions. The Role: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP). Advanced proficiency in Python and SQL is essential and an academic background ground in a related discipline is preferred. As a Senior ML Engineer in our Kubrick Advanced team, you will play a key role in delivering high quality AI/ML and data engineering projects to our clients, with Databricks serving as the primary platform for solution development. You will work closely with Databricks' professional services teams and client stakeholders to design and implement Lakehouse aligned architectures, leveraging Delta Lake, Unity Catalog, MLflow, and Databricks Model Serving as part of robust end to end solutions. Alongside hands on development, you will frequently take on leadership responsibilities within Kubrick delivery squads, providing technical guidance, enforcing best practices, and ensuring solutions are scalable, secure, and aligned with Databricks standards throughout the project lifecycle. You will also contribute to the ongoing growth and capability development of Kubrick, in strengthening our Databricks delivery proposition. This will include supporting the development of internal accelerators, championing best practice use of the Lakehouse Platform, and assuming line management or technical leadership responsibilities within the team. Key Responsibilities Lead technical delivery within Kubrick's squads deployed on client project engagements, ensuring our solutions follow Databricks Lakehouse best practices and that Kubrick is recognised for the quality, scalability, and robustness of the technical solutions we provide. Work with Kubrick & client staff of other disciplines to understand and assess requirements, design Lakehouse aligned architectures, and inform delivery planning that leverages Databricks capabilities such as Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Seek, build, and maintain effective client relationships contributing to Kubrick's commercial priorities while strengthening our collaborative partnership model, particularly in data & AI engagements delivered on Databricks. Line managing developers within the team, supporting their technical development with a focus on Databricks engineering best practices, certified learning paths, and production grade ML delivery standards. Promote a culture of engineering excellence within KA through curiosity, collaboration, and contributions to our internal Databricks knowledge base, accelerators, and delivery playbooks. Actively participate in continuous learning and upskilling, including pursuing Kubrick funded Databricks certifications and engaging in self directed or group learning to ensure your technical capabilities remain modern and industry relevant. Required Skills & Experience Experience in Machine Learning and/or Data Science, including building, deploying, and operating production grade ML model, ideally within a Lakehouse architecture. Hands on practical experience training, finetuning, and deploying ML models on Databricks, including use of MLflow for tracking and model registry, Model Serving, and Delta Lake as the underlying data layer. Holding a Databricks ML Engineer certification is highly desirable. Strong ability to "pick the right tool for the job," selecting appropriate modelling approaches, frameworks, and Databricks native capabilities to address a given problem statement. Awareness of the cost implications of training, finetuning, testing, and serving ML models on Databricks, including cluster configuration, autoscaling, and job orchestration. Deep AI/ML subject matter expertise, combined with the communication skills needed to explain technical concepts clearly and influence both technical and business stakeholders. Demonstrable experience in delivery leadership and/or line management, including mentoring junior technical personnel-ideally within a Databricks-centric engineering environment. Development Opportunities 20 dedicated development days. Four of these will be quarterly collective training days and the remainder will be informed by your own professional development plan. Support for Professional accreditations in our partner technologies, e.g. Databricks, Azure, AWS etc. Close collaboration opportunities with principal consultants and senior members of the business.

Intro Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector. Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in banking. The Evident AI Index forms the basis of our benchmarking products, which help companies to understand their ranking in relation to peers and to accelerate their AI strategy. The Client Delivery team, sitting at the core of Evident's value proposition to clients, is responsible for delivering bespoke benchmarking analysis to clients and shaping the strategy of our benchmarking products. We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world. We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools. We are backed by some of the world's leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway, and have built a network of advisors that includes the Global AI Lead at AWS, Mastercard's President of Cyber & Intelligence, Ocado's former CTO, the former CCO of the Alan Turing Institute, the Chair of the UK Government AI Council and the former Head of the UK Government Office for AI. If you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI here. Our commitments to diversity and inclusion are set out at the end of this job description. The Role We are seeking sharp, analytical and strategically minded individuals who are interested in working with C-Suite decision makers at the world's largest financial institutions to shape AI strategies. As part of our Client Delivery team, you will apply strategic thinking and analytical rigour to support the delivery of bespoke benchmarking analysis to clients (comparing their AI maturity against peers and industry leaders), playing a pivotal role in contributing to the team's overarching goal of building high levels of client engagement and satisfaction. Key Responsibilities Structuring and preparing content for clients - leveraging data and insights from the Index, Data and Intelligence teams to produce bespoke analysis for clients Strategic analysis - applying analytical rigour to content preparation by interpreting data, developing insights and identifying strengths and opportunities Subject matter expertise - developing expertise in how AI is used in financial services, including up to date examples of case studies and impact to date Relationship management - supporting client management across the lifecycle: from onboarding, through all deliverables and touchpoints within the year Facilitation - leading recurrent client touchpoints, supporting team members in the presentation of benchmarking content to clients. Product development - support product development by sharing client feedback to evolve benchmarking products and providing input on practical ways in which the feedback can be incorporated into existing or new products. Core Skills 4+ years of experience: ideally in strategy consulting, financial services or another role that involved the key responsibilities listed above Proven experience in producing strategic, analytical content for clients through data and insights, and structuring presentations from scratch. Ability to proactively identify client needs and opportunities to deliver exceptional value to clients Attention to detail and highly organised: able to support the team in managing multiple clients and deadlines in parallel Collaborative: proven experience of working effectively with a range of cross-functional team members Proactive: you take ownership without being asked Excellent written and verbal communication skills: you communicate concisely and effectively with stakeholders, internally and externally Understanding of AI applications in large-scale organisations, with particular relevance to the Financial Services industry. If you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless. Share options: we offer all employees share options over a 4 year vesting period Holidays: 28 days of holiday + public bank holidays Flexible working: 3-4 days per week in our Central London office, 1-2 days remote Pension Private health insurance Our commitments to diversity and inclusion Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.

Senior SAP Basis Consultant Location: Portsmouth, GB, PO6 3EN Leicester, GB, LE3 1UF Westminster, London, GB, W1U 1QX Warrington, GB, WA4 6HL Bristol, GB, BS16 1EJ Rosyth, Dunfermline, Kirkcaldy, GB, KY11 2YD Devonport, Plymouth, GB, PL1 4SG Onsite or Hybrid: Hybrid Job Title: Senior SAP Basis Consultant Location: Hybrid, UK Compensation: Competitive Salary + Benefits Role Type: Full time / Permanent Role ID: SF69668 Lead the Future of Digital Transformation in Defence and Engineering At Babcock, we're working to create a safe and secure world, together. If you join us, you can play your part as a Senior SAP Basis Consultant at one of our UK sites, near major commutable towns. The role As a Senior SAP Basis Consultant, you'll play a pivotal role in our SAP Service and Programme, driving technical excellence and innovation across our enterprise systems. This is an opportunity to influence critical projects that support national security and engineering advancements, while accelerating your own career growth in a dynamic, future-focused environment. Day-to-day, you will report directly into the SAP Technical Team Lead and will be responsible for: Providing technical input into SAP product maintenance to ensure compliance and supportability Plan and execute upgrades aligned with SAP technology advancements Lead SAP technical initiatives and performance reviews, delivering actionable recommendations Collaborate with Infrastructure teams (Network, Storage, Citrix, Server) to maintain system stability Drive continuous improvement across SAP environments This role is full time, 37.5 hours per week and provides hybrid working arrangements with days in the office/onsite and days working from home. Essential experience Demonstrable experience within SAP Basis, ideally across multiple project lifecycles Hands on expertise in SAP solutions such as ECC, PO, BW, BPC, Gateway, IdM, and Solution Manager Knowledge of SAP Cloud technologies (SuccessFactors, BTP, IAS/IPS, CALM) Working knowledge of networks and firewalls Experience in fast paced environments with tight deadlines Qualifications Relevant SAP certifications or equivalent experience Additional qualifications in cloud technologies (BTP, CALM) would be advantageous Security Clearance The successful candidate must be able to achieve and maintain Standard (BPSS) and Security Check (SC) security clearance for this role. You must be British National. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (). What we offer Matched contribution pension scheme, with life assurance Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ Employee share scheme and shopping savings portal Payment of Professional Fees Reservists receive 10 days' special paid leave Holiday Trading options Flexible working arrangements A dynamic working environment Babcock International For over a century Babcock has helped to defend nations, protect communities and build a better world. To continue, we must adapt, advance and be a sustainable business with a shared goal. We are a disability confident employer We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email with the subject header 'Reasonable adjustments requirement'. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview. Job Segment: SAP, ERP, CSR, Engineer, Technology, Management, Engineering

About us: At Gridcog, we're on a mission to accelerate investment in the clean energy transition. We are a SaaS start-up of energy nerds on a mission to accelerate the energy transition by building the best project modelling software to enable our users to make intelligent energy decisions. Who we're looking for: We're expanding in the UK and Europe, and we are seeking a Senior Account Manager to help accelerate our growth with existing customers. You will join our London or Berlin based team. Our software enables professionals in renewable energy to make informed investments into energy projects that deliver economic and environmental value. Our clients include many of the world's leading Developers, IPPs, Consultants and Energy Users, and we have built a strong and growing customer base across Europe. As we continue to scale, we are now introducing a dedicated account management function to ensure we deliver maximum value to our customers while capturing the full commercial opportunity across our accounts. As our founding Senior Account Manager, you will play a key role in building this function. This is a builder role where you will help define our approach, processes and best practices as we grow. You will own a portfolio of strategic customers with responsibility for renewals, expansion and Net Revenue Retention targets. You will work closely with our Industry, Sales and Marketing teams, allowing you to focus on building relationships, driving value and leading commercial conversations. If this sounds like you, please read on! What you'll do as part of our team: Own and grow a portfolio of key customer accounts, with responsibility for delivering against customer health (product adoption), contract renewal, revenue expansion, and Net Revenue Retention targets Develop and execute account development plans, identifying and leading opportunities to expand Gridcog's footprint across teams, geographies and use cases Build strong, trusted relationships with senior stakeholders, aligning Gridcog to their strategic priorities and driving long-term value Lead commercial conversations including renewals, pricing and contract negotiations, with a focus on meeting and exceeding targets Play a lead role in our account management cadence, including monthly account reviews with senior stakeholders and weekly customer syncs Partner closely with Industry, Sales and Marketing teams to ensure customer success and unlock growth opportunities Contribute to the ongoing development of our account management processes and best practices as we scale To be successful in this role you will have: Experience in strategic account management role within a SaaS, data or technology business in the energy sector A strong track record of owning and growing customer accounts, including delivering against renewal and expansion targets Sufficient understanding of energy markets and the energy transition to engage credibly with customers, without requiring deep technical expertise Comfort operating in ambiguity, with the ability and motivation to build processes, structure and best practices in a currently low-process, fast-growing environment The confidence and credibility to engage senior stakeholders and lead commercial conversations, including renewals and negotiations Excellent communication and relationship-building skills, with a strong sense of customer empathy Strong commercial acumen, with a proactive approach to identifying and driving growth opportunities A collaborative mindset and enthusiasm for working across Industry, Sales and Marketing teams We'd also love it if you have: Experience in a high-growth startup or scale-up environment Exposure to European energy markets or multi-country customer portfolios Fluency in a second European language Benefits: Competitive remuneration package aligned with experience and skills Opportunity to work as part of our social Londo or Berlin based team with flexible working arrangements Be part of a high-performing team that values innovation and creative problem-solving Contribute to the decarbonisation of the world's energy system Support for ongoing professional and personal development An annual all-company retreat, with recent locations including Bali and Bintan Island Diversity and Inclusion: We are committed to building a diverse and inclusive team at Gridcog. We welcome applicants from all backgrounds, as we believe an inclusive environment and diversity of perspective leads to innovation and success.

Who are we? A world where complexity is the only constantdemands anew breed of company.Brave Bison is a different beast: a media, marketing and technology companypurposebuilt for thedigitalera. Our universe is made up of award-winning business arms Brave Bison, Engage,SocialChainand MTM.Andwe'reunderpinned byleading marketing training practice,MiniMBA, as well asour very own social-first media networkwhodeliver monthly views in the billionsfor some of the biggest channels in sport and entertainment across YouTube, Snap,Metaand TikTok. We'rea global collective who live and breathe digital,workingwith some of the boldest brands in the worldtocapitalise on the complexity that defines the modern marketing landscape. Brave Bison Performance With over 20years experiencegrowing our clients' businesses through digital media, we help brandsleveragethe right data, rightpartnersand right tech to capitalise on complexity and supercharge their online growth. By going deep into our clients' world, investing their budget where it will work the hardest and ensuring that we only win when they win, we stand for braver digital in a world of opportunity. Role summary The Head of Content Strategy leads and develops Brave Bison's Content Strategy discipline, ensuring the agency delivers high-quality, commercially effective content strategies across its client portfolio. The role sits at the centre of the organic performance practice, defining how content strategy supports organic discovery while increasingly informing broader performance activity across paid media, social, and integrated campaigns. While organic search remains the strategic foundation, the Head of Content Strategy ensures the discipline evolves in line with how search behaviour is changing, including AI-driven discovery, generative search environments, and the growing role of content across performance marketing channels. This role is less focused on day-to-day client delivery and more on enabling the success of the team. The Head of Content Strategy sets the standard for what good looks like, develops the team's capabilities, ensures consistent strategic quality, and acts as the most senior escalation point for complex strategic challenges or high-level client conversations. They will also champion strong UX and content design thinking across the discipline, ensuring strategies improve user experience, information architecture, and accessibility alongside search visibility and performance. Key responsibilities Discipline leadership Define and maintain Brave Bison's content strategy methodology and standards Ensure consistent strategic quality across all client accounts where content strategy is delivered Act as the senior authority on content strategy within the organic performance practice Provide guidance and oversight to consultants and associate directors leading client work Establish clear frameworks and best practices for how content strategy is developed and delivered Ensure the team is equipped to respond to changes in search, AI discovery, and content consumption behaviour Work with the other Heads of Department to establish excellence across Performance Team development and enablement Lead and develop the Content Strategy team, including senior consultants and associate directors Support consultants and associate directors in delivering high-quality strategic work for their clients Provide mentorship, coaching, and strategic input where needed to strengthen account delivery Identify capability gaps within the team and develop training programmes to address them Ensure the team develops expertise in areas such as AI search, integrated content strategy, and content design Lead hiring and onboarding for Content Strategy roles Strategic oversight and escalation Maintain oversight of all major content strategy work across the client portfolio Provide senior strategic input on complex or high-impact projects when required Act as the senior escalation point for strategic issues or client concerns relating to content strategy Support account leads in high-level client conversations when additional strategic authority is required Ensure that client work remains strategically sound, commercially viable, and aligned with best practice Organic search and evolving discovery Maintain expert-level understanding of SEO, including technical foundations, digital PR, information architecture, and on-page strategy Lead the agency's thinking on how search is evolving through AI-driven discovery, AI Overviews, and generative search environments Translate developments in search and AI into practical guidance for the team Ensure content strategies reflect the changing nature of how users discover and consume information online Work with SEO, Digital PR and data teams to develop measurement approaches that reflect evolving search behaviour Content design and UX leadership Champion content design and UX principles within the Content Strategy discipline Ensure strategies consider user journeys, information architecture, and accessibility as core components Support the team in designing content experiences that improve clarity, usability, and engagement Product and methodology development Develop and evolve Brave Bison's content strategy frameworks and methodologies Build proprietary tools, approaches, and products that differentiate the agency's offering Ensure the Content Strategy discipline integrates effectively with SEO, paid media, social, and data teams Continuously adapt the agency's approach to reflect industry developments and emerging technologies Commercial and business support Support major new business opportunities where senior content strategy input is required Review and approve content strategy proposals, ensuring strategic quality and commercial viability Help identify opportunities to expand content strategy work across existing account Contribute to positioning Brave Bison as a leading authority in content strategy and organic discovery Skills and experience 8+ years of experience in content strategy, SEO, or organic performance roles Deep expertise in SEO including technical foundations, on-page optimisation, and strategic content planning Strong understanding of how search behaviour is evolving through AI-driven discovery and generative search Experience developing content strategies that support wider performance marketing activity, including collaboration with paid media teams Strong grounding in UX and content design principles including information architecture, user journeys, and accessibility Demonstrated experience leading strategists and consultants Experience working in an agency or consultancy environment Strong commercial awareness and experience supporting pitches or proposals Exceptional communication skills and the ability to guide teams through complex strategic challenges What you'll get Our people make us who we are, so to make sure we attract andretainthe best and brightest in the industry, we offer an attractive benefits package. But not only that, we are the UK's first carbon neutral agency (a status we have held since 2018), with a serious commitment tomonitoringand reducing the impact our work has on the planet across three core sustainability pillars of Greenhouse Gases, Waste & Recycling and Sustainable Consumption. Thenthere'sa whole host of benefits - from discounted gym memberships and free eye tests to an employee pension scheme and enhanced maternity, paternity, and adoption package.Here'sa snapshot of just some of the benefits we think you might also like: Dynamicworking: Tokeepthatwork-life harmony in check,we'reflexible on where and when you work Private medicalinsurance: Tokeep you fighting fit and give you and your family peace of mind. Incomeprotection: Weknow it feels good to be covered, just in case. CalmSubscription: Nowmore than ever,it'simportant to mind your mind! 25 days annualleave: Thisincreases to 27 days after three years with us, and then increases everysubsequentyear up to a max. of 30 days Christmasclosure: Noneed to save holiday days for the Christmas closure period.It'son us! Birthdaysoff: Oneextra day to celebrate your big day Summerhours: BetweenJune and Aug we finish at 15.00 every Friday. Online coaching and mental healthsupport: Unlimitedvia OpenUp RemoteWorking: Workabroad for up to one month a year. Performance & Salary: Reviewed twice a year for everyone. Finally, we're proud and committed to being an equal opportunity workplace, providing equal opportunities for all and treating all existing employees and all job applicants in the same way, regardless of their age, disability, gender, gender reassignment, race, religion or belief, sexual orientation, pregnancy and maternity status and marital & civil partnership status.

Machine Learning Engineer Department: Project Delivery Employment Type: Permanent - Full Time Location: London Reporting To: Mike Winstanley Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura's projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning models on complex, multi source datasets from local authorities. You will engineer high performance training pipelines, build embedding based and sequence models, implement LLM and RAG workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands on work with model architectures, feature engineering, model optimisation, performance debugging, schema aligned data preparation, and ML driven interfaces. This role is for engineers who want to build real models, ship real systems, and solve real operational ML problems - not just prototypes. You will work directly with production data, client technical teams, and our internal engineering ecosystem to deliver AI components that are robust, scalable, and deployed into live environments. Key Responsibilities Machine learning engineering Design, train and optimise predictive models using advanced architectures such as gradient boosted trees, temporal models and embedding based models. Build robust training, evaluation and monitoring pipelines to ensure model quality, reproducibility and auditability. Implement feature engineering, hyperparameter tuning, model debugging and performance optimisation. Productionise models so they run reliably and efficiently at scale in client environments. Data engineering Own schema aware data flows for modelling and cohorts; validate, transform and version datasets used in training and inference. Manage and evolve database schemas; optimise SQL, indexing and partitioning for large training and scoring workloads. Technical delivery Lead the modelling and data engineering components of client projects alongside DACs and Business Consultants. Acquire and extract data from client source systems. Build and validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk logic, summaries and scoring pathways. Contribute modelling innovations, performance insights and engineering improvements back into the platform. Knowledge sharing and technical leadership Act as an SME for machine learning, AI and model engineering within DACs. Mentor DACs on Python, modelling best practice, data engineering fundamentals and debugging approaches. Produce documentation, templates and reusable components to raise engineering standards across delivery. What are we looking for? We'd love to hear from you if you have: 3-5+ years' experience in machine learning engineering, taking models from development into production. Strong Python engineering skills and experience with modern ML frameworks. Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based). Ability to build reproducible training and evaluation pipelines. Experience containerising and deploying models (e.g., Docker, FastAPI). Solid data & database engineering Strong SQL and experience working with relational databases. Understanding of schemas, data transformations and (ideally) DBT. Experience preparing data for model training and scoring. Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows. Experience applying NLP or sequence models to real world datasets. Experience delivering technical work to clients or stakeholders Comfortable defining data requirements, discussing modelling decisions and troubleshooting issues in real time. Clear communication and collaborative mindset Able to explain technical concepts simply and work closely with data scientists, engineers and consultants. Bonus points if you have Experience with Azure ML, AKS or similar cloud environments. Experience with public sector datasets or analytical workflows. Location This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually. Work for a passionate, mission driven company solving society's big problems. Work flexible hours around life commitments with a focus on delivering company value rather than hours worked. Ability to work remotely (excluding face to face Team Meetings and client meetings). Training and development opportunities. 25 days annual leave (plus bank holidays). Company pension. Private medical insurance. Generous enhanced parental leave policies. Cycle to work scheme. Flu vaccinations. Eye test and contribution towards glasses for VDU use. Employee Assistance Programme Mental health and wellbeing support. Remote GP access. Counselling/therapy. Physiotherapy. Medical second opinions.