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The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! What you'll do As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation,data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency; leveraging numerous applications. This is a unique opportunity for you to join a team as it expands and help us position Deloitte as the clear legal technology leader. As a Legal Technology Manager Client Management: Manage the day-to-day interactions with executive clients and sponsors. Delivery: Work with a team to optimize legal processes, leveraging technology to align legal software with the clients' specific requirements and goals. Solutions: Identify, design and leverage technology and innovative solutions to address the legal department needs. Support: Provide training around day-to-day activities, related to processes and various technologies or situational changes. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Perform role of counselor and coach; participate in the staffing process and retention activities. Business Development: Develop and maintain contacts, organize and lead pursuit teams; contribute to business development. Qualifications Required Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week Limited immigration sponsorship may be available 5+ years' experience with legal and/or technology solutions Bachelor's degree Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) PMI Agile Certified Practitioner (Project Management Institute-ACP) Certified Change Management Professional (CCMP) Certified Business Analysis Professional (CBAP) Procurement/Legal Procurement or SAS Certified Data Scientist. Paralegal Certification with a 4-year degree Other Technical Certifications: Six Sigma (Black Belt and Green Belt) Microsoft Certified Solutions Developer (MCSD) Contract & Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP) Certified Systems Engineering Professional (CSEP) The Information Systems Security Architecture Professional (CISSP-ISSAP) Certified Change Management Professional (CCMP) or SAS Certified Data Scientist DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Onit Product Suite (Level 2 and above) Conga CLM Agiloft Sirion Labs Kira Thomson Reuters (Legal Tracker, High Q, or Contract Express) Wolters Kluwer Passport (Passport Legal Spend and Matter Management) Mitratech Team Connect and TAP Vendor certification for management of implementations (SAP, Thomson Reuters, etc.) or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) Preferred Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps legal and tax departments pursue a streamlined, transparent, and efficient function that enhances the core responsibilities of contracting, compliance, reporting and planning, while also positioning legal and tax as a for the digital era. We specialize in tax and can effectively address a corporate legal and tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for legal departments and for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines legal, tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, technology roadmap development for a desired future state, data, document and contract management solutions, automation opportunities, portals, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Learn more about Deloitte Tax Technology Consulting. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is$108,430 to $246,870. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation:

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance Thought The AA only provide roadside assistance? Think AA-X. Technology has made human life easier; from booking holidays and banking, through to meeting new people and work opportunities. But over the last decade owning and driving cars has gotten far tougher. At AA-X we are on a mission to re-invent the car ownership and usage experience. We imagine, build and grow connected car ventures. Using data and AI to provide car and driver insights with new solutions that give drivers control, confidence and a little joy across their motoring lives. As a Solution Architect within AA-X, you'll be apart of the UK's largest and most trusted driving company, developing and testing human-centric products and services fast; whilst giving AA members first access to everything we build. Are you ready for a career where you're always ahead? This is the job Are you ready to architect the future of mobility? We're on the hunt for a visionary Solutions Architect to lead the charge in transforming our Connected Car platform. This is a rare opportunity to shape cutting-edge consumer-facing applications that blend real-time vehicle diagnostics, IoT innovation, and mobile-first design - all within a fast-paced, cloud-native environment. If you thrive at the intersection of technology and strategy, and bring deep expertise in architecture, connected car ecosystems, and modern frameworks like React and Flutter, this role offers the chance to make a tangible impact. Join us in redefining how drivers interact with their vehicles - smarter, safer, and more connected than ever. What will I be doing? Architect and evolve ourConnected Car platform, integrating OBD-II devices and real-time diagnostics. Design scalable, secure, and resilientconsumer-facing applicationsacross mobile and web. Collaborate with cross-functional teams to translate customer needs into robust technical solutions. Championdata privacy and security, ensuring compliance with GDPR and automotive standards. Lead technical discovery for features likeAI-powered diagnostics, predictive maintenance, and third-party integrations. Provide architectural guidance across the development lifecycle, mentoring teams on cloud-native and mobile-first strategies. What do I need? Strong demonstrable experience within Architecture, with a strong track record in consumer digital platforms. React and Flutter expertise- you're fluent in modern mobile/web frameworks and know how to build responsive, user-centric applications. Connected Car / IoT experience is ideal - you've architected platforms involving hardware integration, telemetry, and real-time analytics. Deep understanding of AWS cloud architecture, microservices, and CI/CD pipelines. Strong grasp of security best practices, compliance standards, and scalable design principles. Additional information We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you'll have access to a range of benefits including: 25 days annual leave plus bank holidays + holiday buying scheme Worksave pension scheme with up to 7% employer contribution Free AA breakdown membership from Day 1 plus 50% discount for family and friends Discounts on AA products including car and home insurance Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more Company funded life assurance Diverse learning and development opportunities to support you to progress in your career Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family Plus, so much more! We're an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Hammerspace obliterates data access delays for AI and high-performance computing. Its Data Platform delivers a high-throughput, low-latency parallel global file system unifying data from edge to core to multi-cloud, accessible via pNFS, NFSv3, SMB and S3 standards. Instant, agentless deployment with native Linux support combined with migration-free data assimilation radically accelerates pipelines. This approach keeps GPUs saturated, speeds time-to-insight, and boosts researcher and developer productivity. As Director, Sales Engineering - EMEA, you will build and manage the presales organization in EMEA (Preferably London). Collaborating closely with the sales team, you will act as a technical leader during the sales process, helping to showcase the value of our products and services. Should You Accept This Challenge You Will Develop an exhaustive understanding of what drives a customer's business and what motivates their decision making Manage existing Sales Engineers in region, as well as recruit new Sales Engineers Connect the dots from technology solutions, inclusive of the Hammerspace portfolio and others from the ecosystem, to measurable customer business outcomes Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business Passionately bring to light the advantages of a Hammerspace solution Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces Take control of evaluations, benchmarks and system configurations Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts Capture requirements and translate Customer's business needs into innovative solutions to accelerate their growth and capacity Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Seek out and spur new opportunities for interoperability, functional, and performance testing/validation Promote mutual roadmap and planning exchanges Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning Move with market trends and competitive landscape to promote thought leadership within our organization What You'll Need To Bring To This Role 5 years (minimum) Pre-sales Management experience in Data Storage / Data Management is required 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sale of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions Must have experience with NFS Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, NFS, OSD, SAN) Previous experience with Linux, NFS file systems and Linux distributed network environment Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking Familiarity with AWS, Azure, GCP a plus Familiarity with containers, k8s and microservices architectures a plus Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable Excellent verbal and written interpersonal skills To the extent required by state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. Hammerspace is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law. Agencies are hereby specifically directed not to contact Hammerspace employees directly in an attempt to present candidates. To protect the interests of all parties, Hammerspace will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Hammerspace will be considered Hammerspace property. Hammerspace will not pay a fee for any placement resulting from the receipt of an unsolicited resume. Hammerspace will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agency must obtain advance written approval from Hammerspace's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Hammerspace will not pay a fee to any Agency that does not have such agreement in place.