Knowledge Lawyer (Professional Support Lawyer) – Private Clients

London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Hometrack

Lead Mobile Engineer

Senior Data Engineer (with ML knowledge)

ML/AI Software Engineer

Data Scientist (KTP Associate)

Principal Data Scientist - NLP

Private Client Lawyer opportunity to move into Knowledge Lawyer (Professional Support Lawyer) role
London (hybrid)
As a top tiered law firm we would expect that you will likely already be working for a tier 1 or at a high level in a tier 2 firm in the Private Client team. You may be working as a Private Client Lawyer and wanting to move into a Knowledge Lawyer /Professional Support Lawyer role to utilise your Private Client experience within Taxation, Trusts and Succession planning etc. to take your career in a new direction. Undertaking complex, challenging, high-value work and delivering exceptional client service as an expert in firm and to clients.
Budget and managing all of the information around legal training, drafting precedents, answering queries, current awareness (there is work to be done around legal training (there is a lot of training but we’d like to add more structure, answering queries, possibly reviewing precedents (some novel points of law). There is quite a bit of flexibility with the role as per our culture.
The Role:
• Working collaboratively with our Knowledge Counsel and other stakeholders you will develop and implement a Knowledge Plan for Private Clients in the UK and our International clients. You will identify and develop key internal resources and training to support the Business Plans of each of these clients.
• Drafting, checking, maintaining and updating key internal resources e.g. precedents, practice notes, checklists, toolkits, clause banks etc. in line with the Knowledge Plan
• Collecting and reviewing knowledge from other lawyer and making it available through the Knowledge systems
• Working proactively with the Research & Information team to identify resources and develop coherent systems, processes and tracking legal and regulatory developments
• Preparing the annual external training budget in line with the needs of the group and development of appropriate teams/employees
• Preparing regular updates and bulletins on developments in tax, trusts, succession planning
• Arranging Knowledge meetings (the agenda, content, present updates and facilitate Q&A sessions
• Advising and supporting lawyers across practice groups with technical queries and issues, so there is a confident and competent use of internal resources
• Working collaboratively with the Knowledge Counsel to deliver a rolling programme of technical training
Client and Market

  • Identifying and exploiting opportunities to deliver advice and guidance on Private Client legal issues to our clients, through client briefings, client training and other value added services
  • Identifying opportunities to use the firms Knowledge resource to enhance the Firm’s reputation within the market including supporting individuals to develop their profiles as thought leaders. Assisting them with the drafting of sector commentary articles, technical briefings and short online posts, working with our PR team to spot opportunities for thought leadership pieces
  • Supporting the Knowledge Counsel with wider thought leadership initiatives.
  • Leading and contributing to wider Knowledge projects and tasks
  • Other Knowledge-related and Private Client activities as appropriate
    Skills and experience
    An experienced and technically competent lawyer, with 6-7 years+ PQE, experience in taxation, international tax, trusts and succession planning.
    Person
    • An experienced lawyer who is effectiveness in a commercial and pressurised environment
    • Excellent written and spoken communication skills
    • Strong analytical and research skills
    • Excellent drafting skills and the ability to flex easily from client pieces to technical legal documents
    • Ability to inspire confidence at every level of the business
    • A highly collaborative worker
    • Ability to quickly develop own networks and use them effectively
    • Capable and pro-active with the ability to work independently
    • Displays a commercial mindset and the ability to view challenges and change as opportunities arise
    • Ability to relay knowledge and develop the skills of others
    • Commercial awareness, financial acumen and a business-like approach to legal practice
    #knowledgelawyerjobs, #professionalsupportlawyerjob, #privateclientlawyerjob, #taxlawyerjob, #trustslawyerjob,
    About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: Forensic Accounting & Fraud - (AML/CTF, Investigation, CFE’s etc.); Legal and LegalTech (E-Discovery, Digital Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.);
    Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients’ specifications. We may store applications in our cloud storage facilities that may include dropbox.
    *end

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.