Urgent Search! Chief Technology Officer

In Technology Group
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

▷ (Urgent Search) Head of Data Science

▷ [Urgent Search] Senior Data Scientist

▷ Urgent Search: Machine Learning Engineer

Urgent Search: Senior Data Scientist

(Urgent Search) Machine Learning Engineer, AWS Generative AIInnovation Center

▷ Urgent Search! Sr. Data Scientist, FCGT

Get AI-powered advice on this job and more exclusivefeatures. This range is provided by In Technology Group. Youractual pay will be based on your skills and experience — talk withyour recruiter to learn more. Base pay range CTO Location:Manchester Salary: £100,000 + Additional Benefits We are on thelookout for a Chief Technology Officer to join an innovative,fast-growing tech company on a mission to revolutionize theindustry with cutting-edge solutions and advanced technology. Asthey continue to expand and push the boundaries of innovation, weare seeking an experienced CTO to lead their technology strategy,infrastructure, and digital transformation efforts. KeyResponsibilities: * Lead the development and execution of ITstrategies to align with business objectives and enhance thecompany’s overall technological capabilities. * Oversee themanagement of IT systems, infrastructure, cybersecurity, andsoftware development initiatives. * Provide leadership andmentorship to the IT team, fostering a culture of innovation,efficiency, and continuous improvement. * Drive digitaltransformation efforts, ensuring the company stays ahead ofindustry trends and remains competitive. * Manage IT budgets,ensuring cost-effective solutions and maximizing ROI ontechnological investments. * Develop and maintain strongrelationships with key internal stakeholders, vendors, and externalpartners. * Ensure compliance with data protection andcybersecurity regulations. * Stay updated on emerging technologiesand trends to ensure the business is leveraging the best solutions.* Ensure disaster recovery and business continuity plans are inplace and operational. Required Skills and Experience: * Provenexperience (8+ years) in IT management or leadership roles, with atleast 5 years in a senior IT leadership position. * Strongtechnical background with experience in managing IT infrastructure,systems, software, and security. * Excellent strategic thinking andproblem-solving skills. * Experience in leading digitaltransformation initiatives and implementing cutting-edgetechnologies. * Exceptional leadership and team managementabilities, with a focus on collaboration and empowerment. * Strongproject management skills, with the ability to deliver complexinitiatives on time and within budget. * In-depth understanding ofIT compliance, data privacy regulations, and cybersecurity bestpractices. * Excellent communication and interpersonal skills, withthe ability to influence and build relationships at all levels ofthe organization. * Bachelors degree in Information Technology,Computer Science, or a related field (Master’s preferred).Preferred Qualifications: * Certification in IT management (e.g.,ITIL, PMP, or CISSP). * Experience working in a tech-driven startupor fast-paced, scaling environment. * Familiarity with cloudtechnologies (AWS, Azure, Google Cloud, etc.). * Knowledge of AI,machine learning, and automation technologies is a plus. Why applyfor this opportunity? * Be part of a fast-growing, innovative techcompany where your contributions will directly impact the business.* Work with cutting-edge technologies in a collaborative anddynamic environment. * Competitive salary and benefits package. *Opportunities for professional growth and development. * A chanceto work with a talented, passionate team committed to pushing theboundaries of whats possible. If you are interested in the positionand have the experience required – please APPLY ASAP. Senioritylevel Executive Employment type Full-time Job function InformationTechnology Industries Technology, Information and MediaJ-18808-Ljbffr

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.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.